Java生成動態GIF圖片
寫selenium自動化時,為了檢視執行效果,後給瀏覽器截圖,想到可以生成gif圖片來快速預覽。看到已經有人實現了,直接拿過來。作者是Kevin Weiner。
共涉及到三個java檔案,分別是NeuQuant.java
,LZWEncoder.java
, AnimatedGifEncoder.java
,有了這三個檔案,我們可以自己編寫方法呼叫
,程式碼如下:
BufferedImage src1 = ImageIO.read(new File("Img221785570.jpg")); BufferedImage src2 = ImageIO.read(new File("W.gif")); //BufferedImage src3 = ImageIO.read(new File("c:/ship3.jpg")); AnimatedGifEncoder e = new AnimatedGifEncoder(); e.setRepeat(0); e.start("laoma.gif"); e.setDelay(300); // 1 frame per sec e.addFrame(src1); e.setDelay(100); e.addFrame(src2); e.setDelay(100); // e.addFrame(src2); e.finish();
三個java檔案原始碼如下:
NeuQuant.java
public class NeuQuant { protected static final int netsize = 256; /* number of colours used */ /* four primes near 500 - assume no image has a length so large */ /* that it is divisible by all four primes */ protected static final int prime1 = 499; protected static final int prime2 = 491; protected static final int prime3 = 487; protected static final int prime4 = 503; protected static final int minpicturebytes = (3 * prime4); /* minimum size for input image */ /* Program Skeleton ---------------- [select samplefac in range 1..30] [read image from input file] pic = (unsigned char*) malloc(3*width*height); initnet(pic,3*width*height,samplefac); learn(); unbiasnet(); [write output image header, using writecolourmap(f)] inxbuild(); write output image using inxsearch(b,g,r) */ /* Network Definitions ------------------- */ protected static final int maxnetpos = (netsize - 1); protected static final int netbiasshift = 4; /* bias for colour values */ protected static final int ncycles = 100; /* no. of learning cycles */ /* defs for freq and bias */ protected static final int intbiasshift = 16; /* bias for fractions */ protected static final int intbias = (((int) 1) << intbiasshift); protected static final int gammashift = 10; /* gamma = 1024 */ protected static final int gamma = (((int) 1) << gammashift); protected static final int betashift = 10; protected static final int beta = (intbias >> betashift); /* beta = 1/1024 */ protected static final int betagamma = (intbias << (gammashift - betashift)); /* defs for decreasing radius factor */ protected static final int initrad = (netsize >> 3); /* for 256 cols, radius starts */ protected static final int radiusbiasshift = 6; /* at 32.0 biased by 6 bits */ protected static final int radiusbias = (((int) 1) << radiusbiasshift); protected static final int initradius = (initrad * radiusbias); /* and decreases by a */ protected static final int radiusdec = 30; /* factor of 1/30 each cycle */ /* defs for decreasing alpha factor */ protected static final int alphabiasshift = 10; /* alpha starts at 1.0 */ protected static final int initalpha = (((int) 1) << alphabiasshift); protected int alphadec; /* biased by 10 bits */ /* radbias and alpharadbias used for radpower calculation */ protected static final int radbiasshift = 8; protected static final int radbias = (((int) 1) << radbiasshift); protected static final int alpharadbshift = (alphabiasshift + radbiasshift); protected static final int alpharadbias = (((int) 1) << alpharadbshift); /* Types and Global Variables -------------------------- */ protected byte[] thepicture; /* the input image itself */ protected int lengthcount; /* lengthcount = H*W*3 */ protected int samplefac; /* sampling factor 1..30 */ // typedef int pixel[4]; /* BGRc */ protected int[][] network; /* the network itself - [netsize][4] */ protected int[] netindex = new int[256]; /* for network lookup - really 256 */ protected int[] bias = new int[netsize]; /* bias and freq arrays for learning */ protected int[] freq = new int[netsize]; protected int[] radpower = new int[initrad]; /* radpower for precomputation */ /* Initialise network in range (0,0,0) to (255,255,255) and set parameters ----------------------------------------------------------------------- */ public NeuQuant(byte[] thepic, int len, int sample) { int i; int[] p; thepicture = thepic; lengthcount = len; samplefac = sample; network = new int[netsize][]; for (i = 0; i < netsize; i++) { network[i] = new int[4]; p = network[i]; p[0] = p[1] = p[2] = (i << (netbiasshift + 8)) / netsize; freq[i] = intbias / netsize; /* 1/netsize */ bias[i] = 0; } } public byte[] colorMap() { byte[] map = new byte[3 * netsize]; int[] index = new int[netsize]; for (int i = 0; i < netsize; i++) index[network[i][3]] = i; int k = 0; for (int i = 0; i < netsize; i++) { int j = index[i]; map[k++] = (byte) (network[j][0]); map[k++] = (byte) (network[j][1]); map[k++] = (byte) (network[j][2]); } return map; } /* Insertion sort of network and building of netindex[0..255] (to do after unbias) ------------------------------------------------------------------------------- */ public void inxbuild() { int i, j, smallpos, smallval; int[] p; int[] q; int previouscol, startpos; previouscol = 0; startpos = 0; for (i = 0; i < netsize; i++) { p = network[i]; smallpos = i; smallval = p[1]; /* index on g */ /* find smallest in i..netsize-1 */ for (j = i + 1; j < netsize; j++) { q = network[j]; if (q[1] < smallval) { /* index on g */ smallpos = j; smallval = q[1]; /* index on g */ } } q = network[smallpos]; /* swap p (i) and q (smallpos) entries */ if (i != smallpos) { j = q[0]; q[0] = p[0]; p[0] = j; j = q[1]; q[1] = p[1]; p[1] = j; j = q[2]; q[2] = p[2]; p[2] = j; j = q[3]; q[3] = p[3]; p[3] = j; } /* smallval entry is now in position i */ if (smallval != previouscol) { netindex[previouscol] = (startpos + i) >> 1; for (j = previouscol + 1; j < smallval; j++) netindex[j] = i; previouscol = smallval; startpos = i; } } netindex[previouscol] = (startpos + maxnetpos) >> 1; for (j = previouscol + 1; j < 256; j++) netindex[j] = maxnetpos; /* really 256 */ } /* Main Learning Loop ------------------ */ public void learn() { int i, j, b, g, r; int radius, rad, alpha, step, delta, samplepixels; byte[] p; int pix, lim; if (lengthcount < minpicturebytes) samplefac = 1; alphadec = 30 + ((samplefac - 1) / 3); p = thepicture; pix = 0; lim = lengthcount; samplepixels = lengthcount / (3 * samplefac); delta = samplepixels / ncycles; alpha = initalpha; radius = initradius; rad = radius >> radiusbiasshift; if (rad <= 1) rad = 0; for (i = 0; i < rad; i++) radpower[i] = alpha * (((rad * rad - i * i) * radbias) / (rad * rad)); //fprintf(stderr,"beginning 1D learning: initial radius=%d/n", rad); if (lengthcount < minpicturebytes) step = 3; else if ((lengthcount % prime1) != 0) step = 3 * prime1; else { if ((lengthcount % prime2) != 0) step = 3 * prime2; else { if ((lengthcount % prime3) != 0) step = 3 * prime3; else step = 3 * prime4; } } i = 0; while (i < samplepixels) { b = (p[pix + 0] & 0xff) << netbiasshift; g = (p[pix + 1] & 0xff) << netbiasshift; r = (p[pix + 2] & 0xff) << netbiasshift; j = contest(b, g, r); altersingle(alpha, j, b, g, r); if (rad != 0) alterneigh(rad, j, b, g, r); /* alter neighbours */ pix += step; if (pix >= lim) pix -= lengthcount; i++; if (delta == 0) delta = 1; if (i % delta == 0) { alpha -= alpha / alphadec; radius -= radius / radiusdec; rad = radius >> radiusbiasshift; if (rad <= 1) rad = 0; for (j = 0; j < rad; j++) radpower[j] = alpha * (((rad * rad - j * j) * radbias) / (rad * rad)); } } //fprintf(stderr,"finished 1D learning: final alpha=%f !/n",((float)alpha)/initalpha); } /* Search for BGR values 0..255 (after net is unbiased) and return colour index ---------------------------------------------------------------------------- */ public int map(int b, int g, int r) { int i, j, dist, a, bestd; int[] p; int best; bestd = 1000; /* biggest possible dist is 256*3 */ best = -1; i = netindex[g]; /* index on g */ j = i - 1; /* start at netindex[g] and work outwards */ while ((i < netsize) || (j >= 0)) { if (i < netsize) { p = network[i]; dist = p[1] - g; /* inx key */ if (dist >= bestd) i = netsize; /* stop iter */ else { i++; if (dist < 0) dist = -dist; a = p[0] - b; if (a < 0) a = -a; dist += a; if (dist < bestd) { a = p[2] - r; if (a < 0) a = -a; dist += a; if (dist < bestd) { bestd = dist; best = p[3]; } } } } if (j >= 0) { p = network[j]; dist = g - p[1]; /* inx key - reverse dif */ if (dist >= bestd) j = -1; /* stop iter */ else { j--; if (dist < 0) dist = -dist; a = p[0] - b; if (a < 0) a = -a; dist += a; if (dist < bestd) { a = p[2] - r; if (a < 0) a = -a; dist += a; if (dist < bestd) { bestd = dist; best = p[3]; } } } } } return (best); } public byte[] process() { learn(); unbiasnet(); inxbuild(); return colorMap(); } /* Unbias network to give byte values 0..255 and record position i to prepare for sort ----------------------------------------------------------------------------------- */ public void unbiasnet() { int i, j; for (i = 0; i < netsize; i++) { network[i][0] >>= netbiasshift; network[i][1] >>= netbiasshift; network[i][2] >>= netbiasshift; network[i][3] = i; /* record colour no */ } } /* Move adjacent neurons by precomputed alpha*(1-((i-j)^2/[r]^2)) in radpower[|i-j|] --------------------------------------------------------------------------------- */ protected void alterneigh(int rad, int i, int b, int g, int r) { int j, k, lo, hi, a, m; int[] p; lo = i - rad; if (lo < -1) lo = -1; hi = i + rad; if (hi > netsize) hi = netsize; j = i + 1; k = i - 1; m = 1; while ((j < hi) || (k > lo)) { a = radpower[m++]; if (j < hi) { p = network[j++]; try { p[0] -= (a * (p[0] - b)) / alpharadbias; p[1] -= (a * (p[1] - g)) / alpharadbias; p[2] -= (a * (p[2] - r)) / alpharadbias; } catch (Exception e) { } // prevents 1.3 miscompilation } if (k > lo) { p = network[k--]; try { p[0] -= (a * (p[0] - b)) / alpharadbias; p[1] -= (a * (p[1] - g)) / alpharadbias; p[2] -= (a * (p[2] - r)) / alpharadbias; } catch (Exception e) { } } } } /* Move neuron i towards biased (b,g,r) by factor alpha ---------------------------------------------------- */ protected void altersingle(int alpha, int i, int b, int g, int r) { /* alter hit neuron */ int[] n = network[i]; n[0] -= (alpha * (n[0] - b)) / initalpha; n[1] -= (alpha * (n[1] - g)) / initalpha; n[2] -= (alpha * (n[2] - r)) / initalpha; } /* Search for biased BGR values ---------------------------- */ protected int contest(int b, int g, int r) { /* finds closest neuron (min dist) and updates freq */ /* finds best neuron (min dist-bias) and returns position */ /* for frequently chosen neurons, freq[i] is high and bias[i] is negative */ /* bias[i] = gamma*((1/netsize)-freq[i]) */ int i, dist, a, biasdist, betafreq; int bestpos, bestbiaspos, bestd, bestbiasd; int[] n; bestd = ~(((int) 1) << 31); bestbiasd = bestd; bestpos = -1; bestbiaspos = bestpos; for (i = 0; i < netsize; i++) { n = network[i]; dist = n[0] - b; if (dist < 0) dist = -dist; a = n[1] - g; if (a < 0) a = -a; dist += a; a = n[2] - r; if (a < 0) a = -a; dist += a; if (dist < bestd) { bestd = dist; bestpos = i; } biasdist = dist - ((bias[i]) >> (intbiasshift - netbiasshift)); if (biasdist < bestbiasd) { bestbiasd = biasdist; bestbiaspos = i; } betafreq = (freq[i] >> betashift); freq[i] -= betafreq; bias[i] += (betafreq << gammashift); } freq[bestpos] += beta; bias[bestpos] -= betagamma; return (bestbiaspos); } }
LZWEncoder.java
原始碼如下:
package com.yeetrack.selenium.Image;
import java.io.OutputStream;
import java.io.IOException;
//==============================================================================
// Adapted from Jef Poskanzer's Java port by way of J. M. G. Elliott.
// K Weiner 12/00
class LZWEncoder {
private static final int EOF = -1;
private int imgW, imgH;
private byte[] pixAry;
private int initCodeSize;
private int remaining;
private int curPixel;
// GIFCOMPR.C - GIF Image compression routines
//
// Lempel-Ziv compression based on 'compress'. GIF modifications by
// David Rowley ( [email protected])
// General DEFINEs
static final int BITS = 12;
static final int HSIZE = 5003; // 80% occupancy
// GIF Image compression - modified 'compress'
//
// Based on: compress.c - File compression ala IEEE Computer, June 1984.
//
// By Authors: Spencer W. Thomas (decvax!harpo!utah-cs!utah-gr!thomas)
// Jim McKie (decvax!mcvax!jim)
// Steve Davies (decvax!vax135!petsd!peora!srd)
// Ken Turkowski (decvax!decwrl!turtlevax!ken)
// James A. Woods (decvax!ihnp4!ames!jaw)
// Joe Orost (decvax!vax135!petsd!joe)
int n_bits; // number of bits/code
int maxbits = BITS; // user settable max # bits/code
int maxcode; // maximum code, given n_bits
int maxmaxcode = 1 << BITS; // should NEVER generate this code
int[] htab = new int[HSIZE];
int[] codetab = new int[HSIZE];
int hsize = HSIZE; // for dynamic table sizing
int free_ent = 0; // first unused entry
// block compression parameters -- after all codes are used up,
// and compression rate changes, start over.
boolean clear_flg = false;
// Algorithm: use open addressing double hashing (no chaining) on the
// prefix code / next character combination. We do a variant of Knuth's
// algorithm D (vol. 3, sec. 6.4) along with G. Knott's relatively-prime
// secondary probe. Here, the modular division first probe is gives way
// to a faster exclusive-or manipulation. Also do block compression with
// an adaptive reset, whereby the code table is cleared when the compression
// ratio decreases, but after the table fills. The variable-length output
// codes are re-sized at this point, and a special CLEAR code is generated
// for the decompressor. Late addition: construct the table according to
// file size for noticeable speed improvement on small files. Please direct
// questions about this implementation to ames!jaw.
int g_init_bits;
int ClearCode;
int EOFCode;
// output
//
// Output the given code.
// Inputs:
// code: A n_bits-bit integer. If == -1, then EOF. This assumes
// that n_bits =< wordsize - 1.
// Outputs:
// Outputs code to the file.
// Assumptions:
// Chars are 8 bits long.
// Algorithm:
// Maintain a BITS character long buffer (so that 8 codes will
// fit in it exactly). Use the VAX insv instruction to insert each
// code in turn. When the buffer fills up empty it and start over.
int cur_accum = 0;
int cur_bits = 0;
int masks[] =
{
0x0000,
0x0001,
0x0003,
0x0007,
0x000F,
0x001F,
0x003F,
0x007F,
0x00FF,
0x01FF,
0x03FF,
0x07FF,
0x0FFF,
0x1FFF,
0x3FFF,
0x7FFF,
0xFFFF };
// Number of characters so far in this 'packet'
int a_count;
// Define the storage for the packet accumulator
byte[] accum = new byte[256];
//----------------------------------------------------------------------------
LZWEncoder(int width, int height, byte[] pixels, int color_depth) {
imgW = width;
imgH = height;
pixAry = pixels;
initCodeSize = Math.max(2, color_depth);
}
// Add a character to the end of the current packet, and if it is 254
// characters, flush the packet to disk.
void char_out(byte c, OutputStream outs) throws IOException {
accum[a_count++] = c;
if (a_count >= 254)
flush_char(outs);
}
// Clear out the hash table
// table clear for block compress
void cl_block(OutputStream outs) throws IOException {
cl_hash(hsize);
free_ent = ClearCode + 2;
clear_flg = true;
output(ClearCode, outs);
}
// reset code table
void cl_hash(int hsize) {
for (int i = 0; i < hsize; ++i)
htab[i] = -1;
}
void compress(int init_bits, OutputStream outs) throws IOException {
int fcode;
int i /* = 0 */;
int c;
int ent;
int disp;
int hsize_reg;
int hshift;
// Set up the globals: g_init_bits - initial number of bits
g_init_bits = init_bits;
// Set up the necessary values
clear_flg = false;
n_bits = g_init_bits;
maxcode = MAXCODE(n_bits);
ClearCode = 1 << (init_bits - 1);
EOFCode = ClearCode + 1;
free_ent = ClearCode + 2;
a_count = 0; // clear packet
ent = nextPixel();
hshift = 0;
for (fcode = hsize; fcode < 65536; fcode *= 2)
++hshift;
hshift = 8 - hshift; // set hash code range bound
hsize_reg = hsize;
cl_hash(hsize_reg); // clear hash table
output(ClearCode, outs);
outer_loop : while ((c = nextPixel()) != EOF) {
fcode = (c << maxbits) + ent;
i = (c << hshift) ^ ent; // xor hashing
if (htab[i] == fcode) {
ent = codetab[i];
continue;
} else if (htab[i] >= 0) // non-empty slot
{
disp = hsize_reg - i; // secondary hash (after G. Knott)
if (i == 0)
disp = 1;
do {
if ((i -= disp) < 0)
i += hsize_reg;
if (htab[i] == fcode) {
ent = codetab[i];
continue outer_loop;
}
} while (htab[i] >= 0);
}
output(ent, outs);
ent = c;
if (free_ent < maxmaxcode) {
codetab[i] = free_ent++; // code -> hashtable
htab[i] = fcode;
} else
cl_block(outs);
}
// Put out the final code.
output(ent, outs);
output(EOFCode, outs);
}
//----------------------------------------------------------------------------
void encode(OutputStream os) throws IOException {
os.write(initCodeSize); // write "initial code size" byte
remaining = imgW * imgH; // reset navigation variables
curPixel = 0;
compress(initCodeSize + 1, os); // compress and write the pixel data
os.write(0); // write block terminator
}
// Flush the packet to disk, and reset the accumulator
void flush_char(OutputStream outs) throws IOException {
if (a_count > 0) {
outs.write(a_count);
outs.write(accum, 0, a_count);
a_count = 0;
}
}
final int MAXCODE(int n_bits) {
return (1 << n_bits) - 1;
}
//----------------------------------------------------------------------------
// Return the next pixel from the image
//----------------------------------------------------------------------------
private int nextPixel() {
if (remaining == 0)
return EOF;
--remaining;
byte pix = pixAry[curPixel++];
return pix & 0xff;
}
void output(int code, OutputStream outs) throws IOException {
cur_accum &= masks[cur_bits];
if (cur_bits > 0)
cur_accum |= (code << cur_bits);
else
cur_accum = code;
cur_bits += n_bits;
while (cur_bits >= 8) {
char_out((byte) (cur_accum & 0xff), outs);
cur_accum >>= 8;
cur_bits -= 8;
}
// If the next entry is going to be too big for the code size,
// then increase it, if possible.
if (free_ent > maxcode || clear_flg) {
if (clear_flg) {
maxcode = MAXCODE(n_bits = g_init_bits);
clear_flg = false;
} else {
++n_bits;
if (n_bits == maxbits)
maxcode = maxmaxcode;
else
maxcode = MAXCODE(n_bits);
}
}
if (code == EOFCode) {
// At EOF, write the rest of the buffer.
while (cur_bits > 0) {
char_out((byte) (cur_accum & 0xff), outs);
cur_accum >>= 8;
cur_bits -= 8;
}
flush_char(outs);
}
}
}
AnimatedGifEncoder.java
原始碼如下:
package com.yeetrack.selenium.Image;
import java.io.*;
import java.awt.*;
import java.awt.image.*;
/**
* Class AnimatedGifEncoder - Encodes a GIF file consisting of one or
* more frames.
* <pre>
* Example:
* AnimatedGifEncoder e = new AnimatedGifEncoder();
* e.start(outputFileName);
* e.setDelay(1000); // 1 frame per sec
* e.addFrame(image1);
* e.addFrame(image2);
* e.finish();
* </pre>
* No copyright asserted on the source code of this class. May be used
* for any purpose, however, refer to the Unisys LZW patent for restrictions
* on use of the associated LZWEncoder class. Please forward any corrections
* to [email protected]
*
* @author Kevin Weiner, FM Software
* @version 1.03 November 2003
*
*/
public class AnimatedGifEncoder {
protected int width; // image size
protected int height;
protected Color transparent = null; // transparent color if given
protected int transIndex; // transparent index in color table
protected int repeat = -1; // no repeat
protected int delay = 0; // frame delay (hundredths)
protected boolean started = false; // ready to output frames
protected OutputStream out;
protected BufferedImage image; // current frame
protected byte[] pixels; // BGR byte array from frame
protected byte[] indexedPixels; // converted frame indexed to palette
protected int colorDepth; // number of bit planes
protected byte[] colorTab; // RGB palette
protected boolean[] usedEntry = new boolean[256]; // active palette entries
protected int palSize = 7; // color table size (bits-1)
protected int dispose = -1; // disposal code (-1 = use default)
protected boolean closeStream = false; // close stream when finished
protected boolean firstFrame = true;
protected boolean sizeSet = false; // if false, get size from first frame
protected int sample = 10; // default sample interval for quantizer
/**
* Sets the delay time between each frame, or changes it
* for subsequent frames (applies to last frame added).
*
* @param ms int delay time in milliseconds
*/
public void setDelay(int ms) {
delay = Math.round(ms / 10.0f);
}
/**
* Sets the GIF frame disposal code for the last added frame
* and any subsequent frames. Default is 0 if no transparent
* color has been set, otherwise 2.
* @param code int disposal code.
*/
public void setDispose(int code) {
if (code >= 0) {
dispose = code;
}
}
/**
* Sets the number of times the set of GIF frames
* should be played. Default is 1; 0 means play
* indefinitely. Must be invoked before the first
* image is added.
*
* @param iter int number of iterations.
* @return
*/
public void setRepeat(int iter) {
if (iter >= 0) {
repeat = iter;
}
}
/**
* Sets the transparent color for the last added frame
* and any subsequent frames.
* Since all colors are subject to modification
* in the quantization process, the color in the final
* palette for each frame closest to the given color
* becomes the transparent color for that frame.
* May be set to null to indicate no transparent color.
*
* @param c Color to be treated as transparent on display.
*/
public void setTransparent(Color c) {
transparent = c;
}
/**
* Adds next GIF frame. The frame is not written immediately, but is
* actually deferred until the next frame is received so that timing
* data can be inserted. Invoking <code>finish()</code> flushes all
* frames. If <code>setSize</code> was not invoked, the size of the
* first image is used for all subsequent frames.
*
* @param im BufferedImage containing frame to write.
* @return true if successful.
*/
public boolean addFrame(BufferedImage im) {
if ((im == null) || !started) {
return false;
}
boolean ok = true;
try {
if (!sizeSet) {
// use first frame's size
setSize(im.getWidth(), im.getHeight());
}
image = im;
getImagePixels(); // convert to correct format if necessary
analyzePixels(); // build color table & map pixels
if (firstFrame) {
writeLSD(); // logical screen descriptior
writePalette(); // global color table
if (repeat >= 0) {
// use NS app extension to indicate reps
writeNetscapeExt();
}
}
writeGraphicCtrlExt(); // write graphic control extension
writeImageDesc(); // image descriptor
if (!firstFrame) {
writePalette(); // local color table
}
writePixels(); // encode and write pixel data
firstFrame = false;
} catch (IOException e) {
ok = false;
}
return ok;
}
/**
* Flushes any pending data and closes output file.
* If writing to an OutputStream, the stream is not
* closed.
*/
public boolean finish() {
if (!started) return false;
boolean ok = true;
started = false;
try {
out.write(0x3b); // gif trailer
out.flush();
if (closeStream) {
out.close();
}
} catch (IOException e) {
ok = false;
}
// reset for subsequent use
transIndex = 0;
out = null;
image = null;
pixels = null;
indexedPixels = null;
colorTab = null;
closeStream = false;
firstFrame = true;
return ok;
}
/**
* Sets frame rate in frames per second. Equivalent to
* <code>setDelay(1000/fps)</code>.
*
* @param fps float frame rate (frames per second)
*/
public void setFrameRate(float fps) {
if (fps != 0f) {
delay = Math.round(100f / fps);
}
}
/**
* Sets quality of color quantization (conversion of images
* to the maximum 256 colors allowed by the GIF specification).
* Lower values (minimum = 1) produce better colors, but slow
* processing significantly. 10 is the default, and produces
* good color mapping at reasonable speeds. Values greater
* than 20 do not yield significant improvements in speed.
*
* @param quality int greater than 0.
* @return
*/
public void setQuality(int quality) {
if (quality < 1) quality = 1;
sample = quality;
}
/**
* Sets the GIF frame size. The default size is the
* size of the first frame added if this method is
* not invoked.
*
* @param w int frame width.
* @param h int frame width.
*/
public void setSize(int w, int h) {
if (started && !firstFrame) return;
width = w;
height = h;
if (width < 1) width = 320;
if (height < 1) height = 240;
sizeSet = true;
}
/**
* Initiates GIF file creation on the given stream. The stream
* is not closed automatically.
*
* @param os OutputStream on which GIF images are written.
* @return false if initial write failed.
*/
public boolean start(OutputStream os) {
if (os == null) return false;
boolean ok = true;
closeStream = false;
out = os;
try {
writeString("GIF89a"); // header
} catch (IOException e) {
ok = false;
}
return started = ok;
}
/**
* Initiates writing of a GIF file with the specified name.
*
* @param file String containing output file name.
* @return false if open or initial write failed.
*/
public boolean start(String file) {
boolean ok = true;
try {
out = new BufferedOutputStream(new FileOutputStream(file));
ok = start(out);
closeStream = true;
} catch (IOException e) {
ok = false;
}
return started = ok;
}
/**
* Analyzes image colors and creates color map.
*/
protected void analyzePixels() {
int len = pixels.length;
int nPix = len / 3;
indexedPixels = new byte[nPix];
NeuQuant nq = new NeuQuant(pixels, len, sample);
// initialize quantizer
colorTab = nq.process(); // create reduced palette
// convert map from BGR to RGB
for (int i = 0; i < colorTab.length; i += 3) {
byte temp = colorTab[i];
colorTab[i] = colorTab[i + 2];
colorTab[i + 2] = temp;
usedEntry[i / 3] = false;
}
// map image pixels to new palette
int k = 0;
for (int i = 0; i < nPix; i++) {
int index =
nq.map(pixels[k++] & 0xff,
pixels[k++] & 0xff,
pixels[k++] & 0xff);
usedEntry[index] = true;
indexedPixels[i] = (byte) index;
}
pixels = null;
colorDepth = 8;
palSize = 7;
// get closest match to transparent color if specified
if (transparent != null) {
transIndex = findClosest(transparent);
}
}
/**
* Returns index of palette color closest to c
*
*/
protected int findClosest(Color c) {
if (colorTab == null) return -1;
int r = c.getRed();
int g = c.getGreen();
int b = c.getBlue();
int minpos = 0;
int dmin = 256 * 256 * 256;
int len = colorTab.length;
for (int i = 0; i < len;) {
int dr = r - (colorTab[i++] & 0xff);
int dg = g - (colorTab[i++] & 0xff);
int db = b - (colorTab[i] & 0xff);
int d = dr * dr + dg * dg + db * db;
int index = i / 3;
if (usedEntry[index] && (d < dmin)) {
dmin = d;
minpos = index;
}
i++;
}
return minpos;
}
/**
* Extracts image pixels into byte array "pixels"
*/
protected void getImagePixels() {
int w = image.getWidth();
int h = image.getHeight();
int type = image.getType();
if ((w != width)
|| (h != height)
|| (type != BufferedImage.TYPE_3BYTE_BGR)) {
// create new image with right size/format
BufferedImage temp =
new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);
Graphics2D g = temp.createGraphics();
g.drawImage(image, 0, 0, null);
image = temp;
}
pixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
}
/**
* Writes Graphic Control Extension
*/
protected void writeGraphicCtrlExt() throws IOException {
out.write(0x21); // extension introducer
out.write(0xf9); // GCE label
out.write(4); // data block size
int transp, disp;
if (transparent == null) {
transp = 0;
disp = 0; // dispose = no action
} else {
transp = 1;
disp = 2; // force clear if using transparent color
}
if (dispose >= 0) {
disp = dispose & 7; // user override
}
disp <<= 2;
// packed fields
out.write(0 | // 1:3 reserved
disp | // 4:6 disposal
0 | // 7 user input - 0 = none
transp); // 8 transparency flag
writeShort(delay); // delay x 1/100 sec
out.write(transIndex); // transparent color index
out.write(0); // block terminator
}
/**
* Writes Image Descriptor
*/
protected void writeImageDesc() throws IOException {
out.write(0x2c); // image separator
writeShort(0); // image position x,y = 0,0
writeShort(0);
writeShort(width); // image size
writeShort(height);
// packed fields
if (firstFrame) {
// no LCT - GCT is used for first (or only) frame
out.write(0);
} else {
// specify normal LCT
out.write(0x80 | // 1 local color table 1=yes
0 | // 2 interlace - 0=no
0 | // 3 sorted - 0=no
0 | // 4-5 reserved
palSize); // 6-8 size of color table
}
}
/**
* Writes Logical Screen Descriptor
*/
protected void writeLSD() throws IOException {
// logical screen size
writeShort(width);
writeShort(height);
// packed fields
out.write((0x80 | // 1 : global color table flag = 1 (gct used)
0x70 | // 2-4 : color resolution = 7
0x00 | // 5 : gct sort flag = 0
palSize)); // 6-8 : gct size
out.write(0); // background color index
out.write(0); // pixel aspect ratio - assume 1:1
}
/**
* Writes Netscape application extension to define
* repeat count.
*/
protected void writeNetscapeExt() throws IOException {
out.write(0x21); // extension introducer
out.write(0xff); // app extension label
out.write(11); // block size
writeString("NETSCAPE" + "2.0"); // app id + auth code
out.write(3); // sub-block size
out.write(1); // loop sub-block id
writeShort(repeat); // loop count (extra iterations, 0=repeat forever)
out.write(0); // block terminator
}
/**
* Writes color table
*/
protected void writePalette() throws IOException {
out.write(colorTab, 0, colorTab.length);
int n = (3 * 256) - colorTab.length;
for (int i = 0; i < n; i++) {
out.write(0);
}
}
/**
* Encodes and writes pixel data
*/
protected void writePixels() throws IOException {
LZWEncoder encoder =
new LZWEncoder(width, height, indexedPixels, colorDepth);
encoder.encode(out);
}
/**
* Write 16-bit value to output stream, LSB first
*/
protected void writeShort(int value) throws IOException {
out.write(value & 0xff);
out.write((value >> 8) & 0xff);
}
/**
* Writes string to output stream
*/
protected void writeString(String s) throws IOException {
for (int i = 0; i < s.length(); i++) {
out.write((byte) s.charAt(i));
}
}
}
相關推薦
Java生成動態GIF圖片
寫selenium自動化時,為了檢視執行效果,後給瀏覽器截圖,想到可以生成gif圖片來快速預覽。看到已經有人實現了,直接拿過來。作者是Kevin Weiner。 共涉及到三個java檔案,分別是NeuQuant.java,LZWEncoder.java, Animate
【Web】Java生成中文GIF動態驗證碼-整合SpringMVC
說明 GIF驗證碼相對於JPG圖片驗證碼來說,要更難破解一些,加大了破解的代價。 從昨天到現在,寫了一個小小的GIF驗證碼專案(中文成語)。 當然,你可以自己修改成字母數字的。我只是單純的覺得中文驗證碼的破解代價更高一點~ 我在這裡生成GIF圖片
java生成驗證碼圖片
val ttr attribute cep 隨機字符串 sta random pragma rac public class AuthImg extends HttpServlet { /** * */ privat
java生成一張圖片
pos phi getheight sce ack 圖片 eth user led public class CreateImage { public stat
java 生成驗證碼圖片
package com.octo.captcha.module.servlet.image; import java.awt.image.BufferedImage; import java.io.IOException; import javax.imageio
java生成上傳圖片的縮圖
# public class ToImg { # public static void main(String[] args) throws Exception { # toSmaillImg("untitled.bmp","thumb.bm
c# winform 顯示動態gif圖片的方法
方法一(簡單):用label,然後設定為背景圖片 方法二:使用GDI+ 來實現 (很粗略的實現,沒有幀間隔) Image image = Image.FromFile("e://temp.gif"); FrameDimens
UIImageView載入動態gif圖片
NSString *name = @"ok.gif"; NSString *filePath = [[NSBundle bundleWithPath:[[NSBundle mainBundle] bundlePath]] pathForResource:na
使用者上傳gif動圖分解成多張幀圖片,併合並生成新gif圖片
背景 為什麼要製作這麼一款工具 首先公司最近在做一款表情包的產品,需要將文字生成到gif圖片中,並可以控制文字顯示的位置,並將不同的文字顯示在不同的圖片上 製作成網頁端工具,隨時隨地,方便使用 探索 首先需要將GIF圖片分幀,通過查詢發現了這個庫buzzfeed/libgif-js 要將生成的文字,可以
java 如何生成動態的gif圖片
網上找了很多資料都沒有生成gif圖片的例子。但是生成水印的檔案到不少,如果我們把gif圖片合成水印後,圖片就不動了,所以我寫了個小例子供大家參考。(如果你想在某個圖片上列印個動感圖示,這個類就能很好地實現,前提是你必須先將動感圖示分解成幾張單獨的gif圖片。當然你可以用程式
java生成簡單驗證碼圖片
沒有 setfont red width public bre 成功 edi args 概要 最近項目需要用java實現輸出隨機驗證碼圖片到前臺,正好有機會接觸下java的繪圖類,完成需求後也有時間做個總結,寫篇隨筆記錄下也希望能幫助到有同樣需求的人! 需求流程圖 1
java生成圖片驗證碼實現
isp tex version edi ade 頁面 類型 logs exp 兩種圖片樣式分別是用Graphics類和Graphics2D 類實現(Graphics2D擴展了Graphics類),可以參考資料,畫出自己想要的圖片 Graphics2D 參考api地址:ht
Java中動態生成當前日期的文件
java;文件名自動生成;1.Java中動態生成當前日期的文件名稱並且將控制臺的輸出信息輸入到文件中 public static void SaveClonseToFile() throws IOException, FileNotFoundException { File f =
JAVA生成問答式驗證碼圖片,支持加減算法
idt case rate cas end setattr ons trace api 原文:http://liuguihua0823.iteye.com/blog/1511355 import java.awt.Color; import java.awt.Font
JAVA生成圖片縮圖、JAVA擷取圖片區域性內容
目前,google已經有了更好的處理JAVA圖片的工具,請搜尋:Thumbnailator package com.ares.image.test; import java.awt.Color; import java.awt.Graphics; impor
使用Thumbnailator處理gif圖片時遇到java.lang.ArrayIndexOutOfBoundsException: 4096異常處理
環境 1.7.0_80 在使用Thumbnailator處理gif圖片時,遇到問題: Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 4096 at com.sun.imageio.plugins.gif.
centos下Java生成圖片字型中文亂碼問題
將需要的字型上傳jdk目錄:/usr/local/jdk1.7.0_79/jre/lib/fonts 例如:msyhbd.ttf msyh.ttf 從window中找,目錄:C:\WINDOWS\Fonts\ 重啟tomca
在頁面上生成動態圖片驗證碼
這兩種方式都得把驗證碼存入session當中,然後提交表單時進行才能進行校驗,因為都是以img src 方式生成的圖片驗證碼,沒法在前臺進行驗證,或許是我不會,有人想到解決辦法的麻煩告我一聲. 1.引入jsp方式 先建立一個jsp檔案,下面這段jsp,其實就是在jsp上寫j
linux 伺服器java生成的圖片亂碼
案例: 伺服器: 本地: 看了下圖片生成的規則,發現圖片是通過 Graphics2D生成的 其中呼叫了Fixedsys字型 Font font = new Font("Fixedsys", Font.PLAIN, fontHeight); 但是linux的字型庫中
java生成隨機圖片
@RequestMapping(method = POST, value = "/getVerify", produces = JSON_UTF8, consumes = JSON_UTF8)public void getVerify(HttpServletRequest request, HttpServl