基于最优小波包的SAR图像压缩
首发时间:2008-06-27
摘要:SAR图像纹理细节丰富,重要信息大量集中于中、高频段,而传统的基于小波的压缩算法只对图像低频信息进行多次分解,对中、高频信息不再细分,易造成细节损失。针对这个问题,提出了一种基于最优小波包的SAR图像压缩算法,对图像中高频信息作进一步分解,较大地保留了图像的纹理细节。重点分析了最优小波包中代价函数的选择和最优基的构建,并与传统基于小波的压缩算法进行了比较。实验结果表明: 基于最优小波包的SAR图像压缩算法在保证视觉质量的同时,其解码图像的峰值信噪比略高于基于小波的标准SPIHT编码算法。
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SAR Image Compression Based on Best Wavelet Packet
Abstract:In SAR Image most important information of texture often appear in the middle and high frequency bands. But image compression methods based on wavelet transform only decompose the lower frequency bands and regard the information in the middle andhigh frequency as unimportant. A SAR image compression method based on best Wavelet Packet is proposed aiming the question.In the paper, the selection of cost function and the construction of best basis are analyzed,and compared with the compression methods based on wavelet.The experimental results show that the proposed method suits the character of SAR and gets better PSNR performance and visual quality than the standard SPIHT.
Keywords: Best Wavelet Packets, SAR, Image Compression, Cost Function
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