| 基于分形维的小波包EBCOT岩心图像压缩 |
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| 引用本文： | 唐国维,张岩,李井辉,慕林洹.基于分形维的小波包EBCOT岩心图像压缩[J].计算机科学,2016,43(11):317-321. |
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| 作者姓名： | 唐国维 张岩 李井辉 慕林洹 |
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| 作者单位： | 东北石油大学计算机与信息技术学院 大庆163318,东北石油大学计算机与信息技术学院 大庆163318,东北石油大学计算机与信息技术学院 大庆163318,东北石油大学计算机与信息技术学院 大庆163318 |
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| 基金项目： | 本文受国家自然科学基金项目(60736043),中国石油科技创新基金研究项目(2012D-5006-0609),黑龙江省教育厅科学技术研究项目(12521050),大庆市指导性科技计划项目资助 |
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| 摘 要： | 岩心图像作为石油地质分析和地球物理勘探的重要信息来源,数据量巨大、纹理信息丰富且对比度较弱。提出一种基于分形维的小波包EBCOT岩心图像压缩方法。对岩心图像进行完全小波包分解,以分形维作为代价函数,并以差分计盒法计算每个子带节点的分形维数。通过比较父节点和子节点分形维数值实现剪支以获取最优小波包分解,结合EBCOT算法对岩心图像进行压缩处理。实验结果表明,所提算法的重构图像的PSNR与SSIM值均高于基于熵的小波包压缩算法和JPEG2000算法。
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| 关 键 词： | 岩心图像 小波包 图像编码 分形维数 |
| 收稿时间： | 2015/10/14 0:00:00 |
| 修稿时间： | 2016/3/16 0:00:00 |
Fractal Dimension Based Wavelet Packet EBCOT Core Image Compression |
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| TANG Guo-wei,ZHANG Yan,LI Jing-hui and MU Lin-huan.Fractal Dimension Based Wavelet Packet EBCOT Core Image Compression[J].Computer Science,2016,43(11):317-321. |
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| Authors: | TANG Guo-wei ZHANG Yan LI Jing-hui and MU Lin-huan |
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| Affiliation: | School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China,School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China,School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China and School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China |
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| Abstract: | As an important information source of petroleum geological analysis and geological prospecting,the core ima-ge has the charaters of huge data amount, rich texture information and weak contrast.A fractal dimension based wavelet packet EBCOT core image compression method was proposed.The original core image is decomposed completely in way of wavelet packet.The fractal dimension is taken as the cost function and its value for each sub-band node is calculated by using the difference box-counting method.By comparing the fractal dimension value of the parent node and its child nodes to achieve pruning,and the optimal wavelet packet decomposition can be obtained.At last,the EBCOT algorithm is applied to implement the core image compression.The experimental results show that the PSNR and SSIM of the reconstructed images are both higher than those of the entropy based wavelet packet compression algorithm and those of JPEG2000 algorithm. |
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| Keywords: | Core image Wavelet packet Image coding Fractal dimension |
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