Progressive image transmission scheme based on quadtree and vector quantization

碩士 === 東吳大學 === 資訊科學系 === 95 ===   In this thesis, we propose a progressive image transmission scheme based on quadtree decomposition and vector quantization. In our proposed method, quadtree decomposition is used to separate area of simple texture and area of complicated texture. We use less storag...

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Main Authors: Cheng-Lin Hung, 洪政霖
Other Authors: Shou-Yi Tseng
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/41224107688282132022
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spelling ndltd-TW-095SCU053940242015-10-13T16:55:44Z http://ndltd.ncl.edu.tw/handle/41224107688282132022 Progressive image transmission scheme based on quadtree and vector quantization 植基於四元樹及向量量化之漸進式影像傳輸技術 Cheng-Lin Hung 洪政霖 碩士 東吳大學 資訊科學系 95   In this thesis, we propose a progressive image transmission scheme based on quadtree decomposition and vector quantization. In our proposed method, quadtree decomposition is used to separate area of simple texture and area of complicated texture. We use less storage space for simple area and more storage space for complicated area, and the area of complicated texture can be transmitted with high priority. In our proposed method, the number of stages can be specified by users and the image resolution can be controlled at each stage. The compressed data of each stage is generated according to the user specified resolution. Each stage can refer the last stage such that the computational and transmission rate can be reduced. At the last stage, we applied the relative addressing technique to further improve the image quality.   According to the experimental results, to compare with previous method, our proposed method achieves lower transmission bit rate and better image quality during the early stages. In the decoding phase, our proposed method is very simple and require little computational cost. It is quite suitable for mobile device multimedia application. Shou-Yi Tseng 曾修宜 學位論文 ; thesis 43 zh-TW
collection NDLTD
language zh-TW
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sources NDLTD
description 碩士 === 東吳大學 === 資訊科學系 === 95 ===   In this thesis, we propose a progressive image transmission scheme based on quadtree decomposition and vector quantization. In our proposed method, quadtree decomposition is used to separate area of simple texture and area of complicated texture. We use less storage space for simple area and more storage space for complicated area, and the area of complicated texture can be transmitted with high priority. In our proposed method, the number of stages can be specified by users and the image resolution can be controlled at each stage. The compressed data of each stage is generated according to the user specified resolution. Each stage can refer the last stage such that the computational and transmission rate can be reduced. At the last stage, we applied the relative addressing technique to further improve the image quality.   According to the experimental results, to compare with previous method, our proposed method achieves lower transmission bit rate and better image quality during the early stages. In the decoding phase, our proposed method is very simple and require little computational cost. It is quite suitable for mobile device multimedia application.
author2 Shou-Yi Tseng
author_facet Shou-Yi Tseng
Cheng-Lin Hung
洪政霖
author Cheng-Lin Hung
洪政霖
spellingShingle Cheng-Lin Hung
洪政霖
Progressive image transmission scheme based on quadtree and vector quantization
author_sort Cheng-Lin Hung
title Progressive image transmission scheme based on quadtree and vector quantization
title_short Progressive image transmission scheme based on quadtree and vector quantization
title_full Progressive image transmission scheme based on quadtree and vector quantization
title_fullStr Progressive image transmission scheme based on quadtree and vector quantization
title_full_unstemmed Progressive image transmission scheme based on quadtree and vector quantization
title_sort progressive image transmission scheme based on quadtree and vector quantization
url http://ndltd.ncl.edu.tw/handle/41224107688282132022
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