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基于上下文的黑白散斑图像压缩

Context-Based Bi-Level Speckle Image Compression

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摘要

利用动态激光散斑的统计特性, 研究了黑白散斑图像的无失真压缩问题, 设计了黑白散斑图像无失真编码器。编码器由图像切割、位移估计、预测、上下文形成与熵编码组成, 主要特点包括散斑位移估计的快速算法、基于散斑统计特性的优化预测以及自适应算术编码。介绍了编码器的工作过程以及对应的工作原理, 并进行了实验验证, 实验结果显示, 黑白散斑图像无失真编码器的压缩性能取得了较大的提高。

Abstract

The problem of lossless compression of bi-level speckle images is studied with the statistical properties of dynamic speckle. A bi-level speckle image distortion coder is designed, which consists of image cutting, displacement estimation, prediction, context formation and entropy coding. The main features include the fast algorithm of speckle displacement estimation, the optimized prediction based on the statistical characteristics of speckle, and the adaptive arithmetic coding. The working process and principle of the coder are introduced. The experimental results show that the compression performance of the bi-level speckle image distortion-free encoder is greatly improved.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TN919.81

DOI:10.3788/lop55.121010

所属栏目:图像处理

基金项目:中央高校基本科研业务费(CDJZR10180011)

收稿日期:2018-06-04

修改稿日期:2018-06-21

网络出版日期:2018-07-12

作者单位    点击查看

李东晖:重庆大学计算机学院, 重庆 400030

联系人作者:李东晖(lidonhui@163.com)

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引用该论文

Li Donghui. Context-Based Bi-Level Speckle Image Compression[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121010

李东晖. 基于上下文的黑白散斑图像压缩[J]. 激光与光电子学进展, 2018, 55(12): 121010

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