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研究生:林煥揚
研究生(外文):Huan-yang Lin
論文名稱:傅立葉空間『明度及彩度特性』於影像增強演算法之應用研究
論文名稱(外文):Image Enhancement via Luminance and Chroma in Fourier Space
指導教授:羅梅君羅梅君引用關係
指導教授(外文):Mei-chun Lo
學位類別:碩士
校院名稱:世新大學
系所名稱:資訊管理學研究所(含碩專班)
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:51
中文關鍵詞:反銳化遮罩銳利化巴特沃斯低通濾波器巴特沃斯高通濾波器傅立葉轉換影像增強色外貌模式
外文關鍵詞:unsharp masksharpnessButterworth high-pass filterButterworth low-pass filterFourier transformimage enhancementcolor appearance model
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現今的影像設備不斷的進步,影像增強已經是個受到重視的議題。在一般傳統的影像增強當中,通常只針對影像全面的增強,即採用傳統的點處理方式或者是空間域的影像增強方法,來達成提高整體影像的對比以及清晰程度。本研究的重點著重於將影像由空間域轉換至頻率域,以便調整影像在頻率空間當中的高頻以及低頻資訊。透過傅立葉轉換便可以實現將影像由空間域轉換至頻率域的效果。在頻率域當中,可以獲得影像的頻率資訊,得到影像高頻以及低頻的資訊,若需要對這些頻率做額外的增強處理,便可以透過巴特沃斯高通濾波器以及巴特沃斯低通濾波器來達成。
本研究將影像的RGB 資訊轉換至色外貌模式CIE Jab 以及CIE JCh,在此色彩空間當中,使用者可以自行固定所需要改變的色相範圍,選定固定的色相範圍並且增強此部分的影像資訊,這樣的好處在於不需要更動整體影像,便可以針對所需要改變的色相來增強,例如只需要更改影像中藍天與綠地的顏色,依本研究的方法便可以輕易達成。
本研究利用傳統的空間域影像增強方法:銳利化(Sharpness)、反銳化遮罩(Unsharp mask)以及頻率域的影像增強方法:巴特沃斯高通濾波器(Butterworth high-pass filter)、巴特沃斯低通濾波器(Butterworth low-pass filter)來進行空間域的影像增強方式以及頻率域的影像增強,並透過心理物理實驗來比較空間域以及頻率域影像增強的差別以及效果,並且跟原圖比較之後,驗證使用本研究的方法是否有達到增強的效果。
It's progressive in image enhancement continuously. Image enhancement becomes an important subject. Traditionally, it usually processes whole part of image when doing image enhancement. Conventionally, two kinds of methods are used in the image enhancement to progress images. Those are both the pixels-processing and the spatial-processing. With these two methods, outcomes obtained are unsatisfactorily high contrast and clear images.
In this research, images were transformed from spatial domain into frequency domain using Fourier transformation. Via frequency domain, then, the frequency information (e.g. the high or the low frequency) in images considered could be
selected and adjusted in terms of chroma or/and lightness accordingly. Moreover, the Butterworth filter was used to process frequencies of images and enhance qualities of images.
Firstly, images were transferred to CIE Jab and CIE JCh from RGB color space using CIECAM02 color appearance model. Then, in this color appearance related color space, users could choose and enhance their favorite hue ranges of images considered without the change of whole appearance of images. For example, it could only enhance colors of sky or grass in a image, but no change of other parts' image. Four methods were applied in this research, including Sharpness, Unsharp mask, Butterworth high-pass filter and Butterworth low-pass filter. These four algorithms compared differences of both spatial and frequency domain via image enhancement. Finally, a set of psychophysical experiments was conducted to compare original images and reproductive images in terms of effects of both pleasantness and favor.
目錄
謝誌 ............................................................................................................................... i
中文摘要 ....................................................................................................................... ii
Abstract ........................................................................................................................ iii
圖目錄 ........................................................................................................................... v
表目錄 ......................................................................................................................... vii
第一章 緒論 ............................................................................................................. 1
1.1 研究背景 ....................................................................................................... 1
1.2 研究動機與目的 ........................................................................................... 2
第二章 文獻探討 ..................................................................................................... 3
2.1 色外貌模式 ................................................................................................... 3
2.2 影像增強 ....................................................................................................... 6
2.3 銳利化(Sharpness) ........................................................................................ 7
2.4 反銳化遮罩(Unsharp mask) ......................................................................... 8
2.5 頻率域影像處理 ........................................................................................... 8
2.6 傅立葉轉換 ................................................................................................... 9
2.7 高通濾波器(High-pass filter) ..................................................................... 10
2.8 理想低通濾波器 ......................................................................................... 13
2.9 巴特沃斯濾波器(Butterworth filter) .......................................................... 14
2.10 心理物理實驗(Psychophysical experiment) .............................................. 17
第三章 研究方法 ................................................................................................... 18
3.1 低通濾波器增強演算法之設計 ................................................................. 19
3.2 高通濾波器增強演算法之設計 ................................................................. 23
3.3 心理物理實驗設定 ..................................................................................... 24
第四章 實驗結果與分析 ....................................................................................... 31
第五章 結論與未來研究方向 ............................................................................... 42
第六章 參考文獻 ................................................................................................... 43
參考文獻
[1] 蕭智鈞,“色外貌模式在彩色包裝印刷應用之研究”,世新大學,圖文傳播暨數位出版學系碩士論文,2008.
[2] 陳佑霖,“色外貌模式在跨媒體彩色複雜影像之再現應用研究”,世新大學 ,平面傳播學系碩士論文,2004.
[3] 沈信彥,“彩色影像「高品質再現複製」系統—「從數位相機到LCD顯示器色彩轉換模組」之研究與建立”,世新大學,資訊管理學系碩士論文,2007.
[4] 陳鴻興,陳詩涵,“色彩工程學:理論與應用”,全華科技,2008.
[5] Gonzalez, R. C. and Woods, R. E., “Digital Image Processing”, Second Edition, Prentice Hall, 2002.
[6] Parker, J. R., “Algorithms for Image Processing and Computer Vision”, John Wiley & Sons, Inc. New York, NY, USA, 1996.
[7] "Molecular Expressions Microscopy Primer: Digital Image Processing Interactive Java Tutorials," 2004.from http://microscope.fsu.edu/primer/digitalimaging/javaindex.html.
[8] 洪維恩,“Matlab7 程式設計”,旗標出版社,2007.
[9] Umbaugh, Scott E., “Computer imaging : digital image analysis and processing”, CRC Press, 2005.
[10] Cooley J. W., ”How the FFT gained acceptance,” Proceedings of the ACM conference on the history of scientific and numeric computation, Princeton., pp.133-140 , NJ, May 13--15., 1987.
[11] He, D. C., Wang, L., “Textural filters based on the texture spectrum,” Pattern Recognition., vol. 24, no. 12, pp. 1187-1195, 1991.
[12] 王元凱,詹志明,"傅立葉轉換於車輛牌照定位之應用",輔仁大學,電子工程研究所碩士論文,2005
[13] Thurstone, L. L., "A law of comparative judgment," Psychological Review, vol.34, pp. 273–286, 1927.
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