The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System

碩士 === 長榮大學 === 經營管理研究所 === 96 === Among the image compression technology, broadly speaking can be divided into “Lossless Image Compression“ and “Lossy Image Compression”. The original image would be destroyed after compression such that it is named lossy image compression. Which is also known as de...

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Main Authors: Chao-Chun Cheng, 鄭兆鈞
Other Authors: 龔志賢
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/9gfk46
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spelling ndltd-TW-096CJU054570862019-07-11T03:42:15Z http://ndltd.ncl.edu.tw/handle/9gfk46 The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System 快速碎型演算法建構於嵌入式系統之實現 Chao-Chun Cheng 鄭兆鈞 碩士 長榮大學 經營管理研究所 96 Among the image compression technology, broadly speaking can be divided into “Lossless Image Compression“ and “Lossy Image Compression”. The original image would be destroyed after compression such that it is named lossy image compression. Which is also known as destructive compression. JPEG (Joint Photographic Coding Expert Group) is the most common image format in lossy image compression. Fractal is also a member of lossy compression group. The advantage of fractal compression is high compression ratio and lower distortion. However the biggest drawback of fractal compression is long encodeing time. This paper proposes a soultion of low comparison rate compared method to reduces operational time. Moreover, the fractal is opplied to the watermark, data comparison and so on. The application of fractal compressions are widely used. Someday the fractal compression would be used on cell-phone or carriageable device. Therefore the notion that applications to embedded system been produced. 龔志賢 2008 學位論文 ; thesis 56 zh-TW
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description 碩士 === 長榮大學 === 經營管理研究所 === 96 === Among the image compression technology, broadly speaking can be divided into “Lossless Image Compression“ and “Lossy Image Compression”. The original image would be destroyed after compression such that it is named lossy image compression. Which is also known as destructive compression. JPEG (Joint Photographic Coding Expert Group) is the most common image format in lossy image compression. Fractal is also a member of lossy compression group. The advantage of fractal compression is high compression ratio and lower distortion. However the biggest drawback of fractal compression is long encodeing time. This paper proposes a soultion of low comparison rate compared method to reduces operational time. Moreover, the fractal is opplied to the watermark, data comparison and so on. The application of fractal compressions are widely used. Someday the fractal compression would be used on cell-phone or carriageable device. Therefore the notion that applications to embedded system been produced.
author2 龔志賢
author_facet 龔志賢
Chao-Chun Cheng
鄭兆鈞
author Chao-Chun Cheng
鄭兆鈞
spellingShingle Chao-Chun Cheng
鄭兆鈞
The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
author_sort Chao-Chun Cheng
title The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
title_short The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
title_full The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
title_fullStr The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
title_full_unstemmed The Realization of Fast Fractal Compression Algorithm Implemented on Embedded System
title_sort realization of fast fractal compression algorithm implemented on embedded system
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/9gfk46
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