An efficient and effective image compression technique based on segmentation scheme
碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === Recently, a large number of multimedia transmits in the network. However, the transmission speed and storage space confront with several limitations. Therefore, to provide an efficient and effective image compression technique for multimedia transmission enviro...
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ndltd-TW-101NPUS53960152016-12-22T04:18:36Z http://ndltd.ncl.edu.tw/handle/31808924591499938173 An efficient and effective image compression technique based on segmentation scheme 一個具高效能與高效率之切割式影像壓縮技術 Huang, Jian-Jhih 黃建智 碩士 國立屏東科技大學 資訊管理系所 101 Recently, a large number of multimedia transmits in the network. However, the transmission speed and storage space confront with several limitations. Therefore, to provide an efficient and effective image compression technique for multimedia transmission environment in networks is required. In the past, there are several image compression techniques have been presented. However, the quality and execution time of the image compression techniques still need to be improved. Therefore, this thesis proposes a new effective and efficient image compression method to overcome the limitation and improve the drawback. This work involves many critical steps to perform image compression task, such as select a used color, segment the colors with fixed size, compute the average colors for the segmented blocks, divide eight blocks for the average colors, assign codebook size to eight blocks depending on their weights, and allocate codebook size to the block using the maximum number of colors. For simulations and comparisons with different data clustering methods, there are two measure indicators have been utilized- time cost and PSNR. It is observed that the proposed algorithm outperforms several well-known image compression approaches in image compression Tsai, Cheng-Fa 蔡正發 2013 學位論文 ; thesis 73 zh-TW |
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碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === Recently, a large number of multimedia transmits in the network. However, the transmission speed and storage space confront with several limitations. Therefore, to provide an efficient and effective image compression technique for multimedia transmission environment in networks is required.
In the past, there are several image compression techniques have been presented. However, the quality and execution time of the image compression techniques still need to be improved. Therefore, this thesis proposes a new effective and efficient image compression method to overcome the limitation and improve the drawback. This work involves many critical steps to perform image compression task, such as select a used color, segment the colors with fixed size, compute the average colors for the segmented blocks, divide eight blocks for the average colors, assign codebook size to eight blocks depending on their weights, and allocate codebook size to the block using the maximum number of colors. For simulations and comparisons with different data clustering methods, there are two measure indicators have been utilized- time cost and PSNR. It is observed that the proposed algorithm outperforms several well-known image compression approaches in image compression
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author2 |
Tsai, Cheng-Fa |
author_facet |
Tsai, Cheng-Fa Huang, Jian-Jhih 黃建智 |
author |
Huang, Jian-Jhih 黃建智 |
spellingShingle |
Huang, Jian-Jhih 黃建智 An efficient and effective image compression technique based on segmentation scheme |
author_sort |
Huang, Jian-Jhih |
title |
An efficient and effective image compression technique based on segmentation scheme |
title_short |
An efficient and effective image compression technique based on segmentation scheme |
title_full |
An efficient and effective image compression technique based on segmentation scheme |
title_fullStr |
An efficient and effective image compression technique based on segmentation scheme |
title_full_unstemmed |
An efficient and effective image compression technique based on segmentation scheme |
title_sort |
efficient and effective image compression technique based on segmentation scheme |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/31808924591499938173 |
work_keys_str_mv |
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