The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems
碩士 === 國立交通大學 === 電子工程系 === 89 === In this thesis, we propose several approaches to do pixel interpolation, image scaling, edge enhancement, and brightness enhancement in digital image acquisition systems. About pixel interpolation, we propose a pattern-based method and an interpolation m...
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ndltd-TW-089NCTU04280752016-01-29T04:28:14Z http://ndltd.ncl.edu.tw/handle/71379206871737711398 The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems 數位取像系統中像素內插、影像縮放及對比加強等技術之研究 Chun Yu Chen 陳俊宇 碩士 國立交通大學 電子工程系 89 In this thesis, we propose several approaches to do pixel interpolation, image scaling, edge enhancement, and brightness enhancement in digital image acquisition systems. About pixel interpolation, we propose a pattern-based method and an interpolation method based on polynomial fitting. These two approaches reduce the appearance of false color and lattice effect. About image scaling, we discuss both cubic spline interpolation and B-spline interpolation. About edge enhancement, we adjust the enhancement factor at each pixel according to the image content near that pixel. This approach can provide sharp edges, fewer ringing artifacts, and lower noise enhancement. About brightness enhancement, we select the pixels around edges and build a hitogram for hem. Then, by modifying the histogram in a proper way, this approach provides enhanced brightness without affecting the perception of the original image. Sheng Jyh Wang 王聖智 2001 學位論文 ; thesis 122 zh-TW |
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碩士 === 國立交通大學 === 電子工程系 === 89 === In this thesis, we propose several approaches to do pixel interpolation, image scaling, edge enhancement, and brightness enhancement in digital image acquisition systems. About pixel interpolation, we propose a pattern-based method and an interpolation method based on polynomial fitting. These two approaches reduce the appearance of false color and lattice effect. About image scaling, we discuss both cubic spline interpolation and B-spline interpolation. About edge enhancement, we adjust the enhancement factor at each pixel according to the image content near that pixel. This approach can provide sharp edges, fewer ringing artifacts, and lower noise enhancement. About brightness enhancement, we select the pixels around edges and build a hitogram for hem. Then, by modifying the histogram in a proper way, this approach provides enhanced brightness without affecting the perception of the original image.
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Sheng Jyh Wang |
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Sheng Jyh Wang Chun Yu Chen 陳俊宇 |
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Chun Yu Chen 陳俊宇 |
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Chun Yu Chen 陳俊宇 The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
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Chun Yu Chen |
title |
The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
title_short |
The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
title_full |
The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
title_fullStr |
The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
title_full_unstemmed |
The Study of Pixel Interpolation, Image Scaling, and Contrast Enhancement in Digital Image Acquisition Systems |
title_sort |
study of pixel interpolation, image scaling, and contrast enhancement in digital image acquisition systems |
publishDate |
2001 |
url |
http://ndltd.ncl.edu.tw/handle/71379206871737711398 |
work_keys_str_mv |
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