A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality

碩士 === 國立中興大學 === 資訊科學與工程學系 === 96 === The issue of color reduction is to represent the original graph by fewer colors. In this paper, k-mean clustering technique is applied to avoid color shifting problem, and additional weight factor is also applied on color replacing and diffusing to smooth the c...

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Bibliographic Details
Main Authors:	Tsung-Bi Hung, 洪琮弼
Other Authors:	朱延平
Format:	Others
Language:	zh-TW
Published:	2008
Online Access:	http://ndltd.ncl.edu.tw/handle/70667085140101631078

id	ndltd-TW-096NCHU5394090
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spelling	ndltd-TW-096NCHU53940902016-05-09T04:13:52Z http://ndltd.ncl.edu.tw/handle/70667085140101631078 A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality 應用分群與誤差擴散法改善顏色降階後影像之機制 Tsung-Bi Hung 洪琮弼碩士國立中興大學資訊科學與工程學系 96 The issue of color reduction is to represent the original graph by fewer colors. In this paper, k-mean clustering technique is applied to avoid color shifting problem, and additional weight factor is also applied on color replacing and diffusing to smooth the color variations. The color reduced result of the proposed scheme has smooth color variations and does not have blocks of monotone color. The experiment shows that the proposed scheme has better visual results, and the comparison results of MPSNR and BPSNR metrics also conform to this improvement. 朱延平 2008 學位論文 ; thesis 43 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立中興大學 === 資訊科學與工程學系 === 96 === The issue of color reduction is to represent the original graph by fewer colors. In this paper, k-mean clustering technique is applied to avoid color shifting problem, and additional weight factor is also applied on color replacing and diffusing to smooth the color variations. The color reduced result of the proposed scheme has smooth color variations and does not have blocks of monotone color. The experiment shows that the proposed scheme has better visual results, and the comparison results of MPSNR and BPSNR metrics also conform to this improvement.
author2	朱延平
author_facet	朱延平 Tsung-Bi Hung 洪琮弼
author	Tsung-Bi Hung 洪琮弼
spellingShingle	Tsung-Bi Hung 洪琮弼 A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
author_sort	Tsung-Bi Hung
title	A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
title_short	A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
title_full	A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
title_fullStr	A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
title_full_unstemmed	A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality
title_sort	new color reduction scheme by k-mean clustering and error-diffusion for improving visual quality
publishDate	2008
url	http://ndltd.ncl.edu.tw/handle/70667085140101631078
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A New Color Reduction Scheme by K-Mean Clustering and Error-Diffusion for Improving Visual Quality

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