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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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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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.
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龔志賢 |
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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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