| 一种新颖的小波系数分类算法在图像无损编码中的应用 |
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| 引用本文： | 李吉星, 王文俊. 一种新颖的小波系数分类算法在图像无损编码中的应用[J]. 武汉大学学报 ( 信息科学版), 2004, 29(9): 809-811,826. |
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| 作者姓名： | 李吉星 王文俊 |
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| 作者单位： | 武汉大学电子信息学院, 武汉市珞喻路129号, 430079 |
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| 基金项目： | 国家自然科学基金资助项目 ( 4 0 2 0 40 0 8) |
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| 摘 要： | 提出了一种新的小波系数分类算法,基于该分类算法,提出了一种更为合理的无损编码算法。实验结果显示,此方法优于其他基于小波的无损编码算法。
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| 关 键 词： | 熵 全深度方向树 小波系数分类 自适应算术编码 |
| 文章编号： | 1671-8860(2004)09-0809-03 |
| 收稿时间： | 2004-05-18 |
A Novel Coefficent Partition in Lossless Wavelet Image Coding |
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| LI Jixing, WANG Wenjun. A Novel Coefficent Partition in Lossless Wavelet Image Coding[J]. Geomatics and Information Science of Wuhan University, 2004, 29(9): 809-811,826. |
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| Authors: | LI Jixing WANG Wenjun |
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| Affiliation: | School of Electronic Information, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | In pyramidal algorithm, an image is decomposed into multiresolution subbands with sets of tree-structured coefficients. A novel coefficient partition algorithm is introduced to split coefficients into two sets using a spatial orientation tree data structure. By splitting the coefficients, the overall theoretical entropy is reduced due to the different probability distribution for the two coefficient sets. A lossless coder based on the algorithm has a better performance than other wavelet-based lossless coders in our experiments. |
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| Keywords: | entropy full depth orientation tree wavelet coefficients partition adaptive arithmetic coding |
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