篇名 | Image Compression using lifting-based Wavelet Transform and Modified Zero-Tree Coding Scheme |
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卷期 | 5:1 |
作者 | Chen, Yao-Tien |
頁次 | 013-020 |
關鍵字 | embedded zero-tree scheme 、 lifting wavelet transform 、 in-place computation 、 integer-to-integer transformation 、 progressive transmission |
出刊日期 | 201312 |
A coding approach based on modified embedded zero-tree scheme is proposed for image compression. At first, an image is decomposed using lifting wavelet transform. Then, the obtained wavelet coefficients are encoded by the proposed modified embedded zero-tree scheme. Finally, adaptive arithmetic coding is adopted to encode the coding coefficients. Lifting wavelet transform accomplishes in-place computation, fast forward/backward transformation, and integer-to-integer transformation, as well as modified embedded zero-tree scheme takes the statistical distribution of image data to encode wavelet coefficients; thus, an optimal coding approach is obtained for lossless data compression and progressive transmission. Experiments show that proposed approach achieves the best compression ratio compared with JPEG, EZW, and SPIHT schemes.