Constraint net based error recovery for high-frequency information of remote sensing image in JPEG2000 transmission

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics Pub Date : 2006-05-08 DOI:10.1109/ISSCAA.2006.1627659

Hao Chen, Ye Zhang, Liguo Wang

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引用次数: 1

Abstract

In the transmission of JPEG2000-coded remote sensing image (RSI), errors occurring in the codestream may result in the loss of the high-frequency information of RSI. A new method based on constraint net (CN) is proposed for error recovery of the high-frequency information. The CN of a wavelet coefficient block represents the relationships between each coefficient and its neighborhoods. The wavelet coefficient block has proved to be determined by its CN and surrounding neighboring coefficients. By using the correlation of inter-bands and the preservation property of edge feature and texture structure in high-resolution and low-resolution subbands, the CN of the damaged code-block that causes the loss of high-frequency information is computed. Together with the surrounding neighboring coefficients, the CN is used to recover the damaged code-block. Experimental results show the high-frequency information is well recovered and the quality of the reconstructed image is significantly improved

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基于约束网的JPEG2000传输遥感图像高频信息误差恢复

在jpeg2000编码遥感图像(RSI)的传输过程中，码流中出现的错误可能会导致RSI高频信息的丢失。提出了一种基于约束网(CN)的高频信息误差恢复方法。小波系数块的CN表示每个系数与其邻域之间的关系。小波系数块是由它的CN和周围的相邻系数决定的。利用高分辨率和低分辨率子带间的相关性以及边缘特征和纹理结构的保持特性，计算导致高频信息丢失的损坏码块的CN。与周围的相邻系数一起，使用CN来恢复损坏的码块。实验结果表明，高频信息得到了很好的恢复，重建图像的质量得到了显著提高

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来源期刊

2006 1st International Symposium on Systems and Control in Aerospace and Astronautics

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