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研究生:吳庭瑞
研究生(外文):Ting-Rui Wu
論文名稱:以擴散方程式強化影像之研究
論文名稱(外文):The Study of Image Enhancement Using Diffusion Equation
指導教授:楊乃中
指導教授(外文):Nai-Chung Yang
學位類別:碩士
校院名稱:義守大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:54
中文關鍵詞:影像強化直方圖等化擴散亮度
外文關鍵詞:Diffusion EquationImage enhancement
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隨著科技的進步,人們對影像品質要求越來越高,在很多應用方面也是極度被需求的,雖然高品質影像已經日漸普及,但到目前為止提升彩色影像對比的技術還沒有令人滿意。為了更有效的顯示細微影像資訊,使用影像強化來提升影像品質早已開始研究。傳統的影像處理面臨最大問題就是影像在強化後,會使得影像裡物體的色彩失真。基於上列因素,提出利用擴散方程式自動捕捉理想影像品質的方法。本方法逐步強化影像的亮度與對比,當滿足限制條件後將自動停止運算,並且在強化後輸出的影像可以看到令人滿意的結果。

As technology progresses, the high-quality images, which have been used in many applications, are becoming urgent. Although the applications of the high-quality images become popular, the technologies for enhancing the contrast of color images are not satisfactory till this stage. To more effectively display the detailed image information, the image processing techniques focused on increasing image quality have been extensively studied. The major problem of the traditional enhancements for color images is that it could cause color distortion in the output images. In this thesis, we propose a method, which utilizes diffusion equation to enhance the images to achieve minimum color distortion. This method gradually enhances the brightness and contrast of the image. Computations are stopped when the constraints are satisfied. Experimental results indicate that the proposed method achieves satisfactory enhancement for color images.

目錄
目錄 5
圖目錄 7
致謝 9
第一章 緒論 10
1.1研究動機與目標 10
第二章 相關研究及文獻探討 13
2.1 直方圖等化(Histogram equalization) 13
2.2 彩色直方圖等化(Color histogram equalization) 16
2.3 Retinex影像強化 19
2.3.1 SSR(Single-Scale Retinex)演算法 20
2.3.2 MSR(Multiple-Scale Retinex)演算法 22
2.3.3 MSRCR(Multiple-Scale Retinex with Color Restoration )演算法 24
2.4 雙向濾波器(bilateral Filter) 26
2.5擴散方程式(Diffusion equation) 29
2.5.1 P-M非等向線性擴散方程式 30
2.5.2 Chao-Tsai擴散方程式 32
第三章 研究方法與步驟 34
3.1.研究方法: 34
3.2.研究步驟: 38
第四章 實驗結果 42
4.1.討論輸入影像透過迭代次數影響: 42
4.2.影像強化後的結果: 43
4.3.附錄: 48
第五章 結論 51
參考文獻 52


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