本文為芬蘭米凱利應用科技大學（作者：Su Kai）的資訊科技學士論文，共39頁。

隨著技術的進步，今天手機拍攝的照片比幾年前拍攝的照片質量要好得多。這意味著，在許多年以後，我們可能並不滿意今天所拍攝的手機照片。此外，攝影是一件好事，但絕不是一件簡單的事情。有很多事情需要考慮，如ISO、白平衡、飽和度、標定等；大多數時候，我們並沒有獲取到一幅很好的圖片。

本文的主題是從基本的角度分析這類需要增強質量的照片。直方圖、FFT等工具都具有自己處理這些糟糕影象的特殊功能。從直方圖中，我們可以看出亮度分佈；通過FFT，我們知道影象的頻域分佈。作為JPEG檔案的缺點，該類圖片本身就不是很好，一些有用的資訊已經丟失了。因此，手動調節這些畫素值是一個很好的嘗試方法。實際上，在本論文中，結合了一些數學知識來使用這些工具。例如，設計一個橢圓濾波器以適應影象的頻譜圖，以減少其中存在的瑕疵。

With technology improving, the photos taken by today’sphone are better than the phone photos taken years ago. It means that we maybenot satisfied with the photos taken by today’s camera phone years later.Another thing, shooting is a good but never be a simple thing. There is a lotof things to consider such as ISO, White balance, Saturation, Metering and soon. Most of time, we fail to get a good image. The topic of this thesis is analysis this kind of photoin a basic way. Histogram, FFT. Each tool has its own function against thesebad images. From histogram diagram, we see the brightness distribution. By FFTwe know something about the frequency domain of a image. As the drawback ofJPEG file, the picture itself is not good, some useful information has lostsince the image is made. So manually managing these values of the pixels is agood way to try. Actually, in my thesis, I combine some mathematics when thesetools are underway. Such as, make a ellipse filter to fit the frequencyspectrogram to reduce more unexpected things.

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