淡江大學機構典藏:Item 987654321/95877
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    题名: Embedded Image Compression Using the Important-Oriented-Tree
    作者: Hsieh, Ching-Tang;Chen, Yen-Liang;Wu, Yeh-Kuang;Kuo, Feng-Jen
    贡献者: 淡江大學電機工程學系
    关键词: 重要空間方向性樹;嵌入式影像壓縮;小波;位元率;資料儲存;影像編碼;演算法;Important Oriented Tree;Embedded Image Compression;Wavelet;Bit Rate;Data Storage;Image Coding;Algorithm
    日期: 2000-12
    上传时间: 2014-02-13 11:15:00 (UTC+8)
    摘要: In this paper, we propose a simple and efficient embedded image compression algorithm. For embedded image compression, the Embedded Zerotree Wavelet (EZW) method was proposed by Shapiro. But the EZW method takes a great deal of bit-rate to record and to arrange the significant location in a 2-D image compression. To get better bit-rate and image quality, we propose a new method that is called Embedded Important-oriented-tree Wavelet (EIW). EIW bit stream will be obtained from the bitstream of Discrete Wavelet Transform (DWT) by using the correlation of relation location between subbands coefficient. By replacing the significant part of EZW bit stream with the bit stream of EIW, we don't need to sort and can save a lot of bit-rate. Simulation results showed that the proposed method obtains better low bit-rate than EZW method and also produces a fully embedded coding for 2-D image.
    關聯: 2000年多媒體軟體工程研討會=International Symposium on Multimedia Software Engineering,頁432-436
    显示于类别:[電機工程學系暨研究所] 會議論文

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