Lossless Image Compression Method Based on Block Grouping

碩士 === 國立暨南國際大學 === 資訊工程學系 === 95 === This thesis proposes a lossless image compression technique for gray level images. This method employs a median edge detector (MED) on the input image to produce a difference image and a sign image. Then, in order to reduce the complexity of the sign image, bi...

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Main Authors: Hsin-Nan Tsai, 蔡信男
Other Authors: Herng-Yow Chen
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/07527856618461595422
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spelling ndltd-TW-095NCNU03920342015-10-13T16:41:42Z http://ndltd.ncl.edu.tw/handle/07527856618461595422 Lossless Image Compression Method Based on Block Grouping 基於區塊歸類之無失真影像壓縮法 Hsin-Nan Tsai 蔡信男 碩士 國立暨南國際大學 資訊工程學系 95 This thesis proposes a lossless image compression technique for gray level images. This method employs a median edge detector (MED) on the input image to produce a difference image and a sign image. Then, in order to reduce the complexity of the sign image, bits transformation is adopted to transform the bits between the sign image and the most significant bits (MSB) in difference image. The resultant image blocks, according to the maximum value of image block, are classified into data bins, each of which has different data patterns. Finally, the arithmetic coding method is applied to compress the data in each data bin respectively. The result of this thesis shows that the proposed method when applied in smooth images provides a better bit rate than JPEG 2000 lossless method does. And the result is also better than other lossless compression methods such as GIF, PNG, and TIFF. Herng-Yow Chen Keh-Ning Chang 陳恆佑 張克寧 2007 學位論文 ; thesis 29 en_US
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language en_US
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description 碩士 === 國立暨南國際大學 === 資訊工程學系 === 95 === This thesis proposes a lossless image compression technique for gray level images. This method employs a median edge detector (MED) on the input image to produce a difference image and a sign image. Then, in order to reduce the complexity of the sign image, bits transformation is adopted to transform the bits between the sign image and the most significant bits (MSB) in difference image. The resultant image blocks, according to the maximum value of image block, are classified into data bins, each of which has different data patterns. Finally, the arithmetic coding method is applied to compress the data in each data bin respectively. The result of this thesis shows that the proposed method when applied in smooth images provides a better bit rate than JPEG 2000 lossless method does. And the result is also better than other lossless compression methods such as GIF, PNG, and TIFF.
author2 Herng-Yow Chen
author_facet Herng-Yow Chen
Hsin-Nan Tsai
蔡信男
author Hsin-Nan Tsai
蔡信男
spellingShingle Hsin-Nan Tsai
蔡信男
Lossless Image Compression Method Based on Block Grouping
author_sort Hsin-Nan Tsai
title Lossless Image Compression Method Based on Block Grouping
title_short Lossless Image Compression Method Based on Block Grouping
title_full Lossless Image Compression Method Based on Block Grouping
title_fullStr Lossless Image Compression Method Based on Block Grouping
title_full_unstemmed Lossless Image Compression Method Based on Block Grouping
title_sort lossless image compression method based on block grouping
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/07527856618461595422
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