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传感技术的不断发展使遥感图像的时间、空间和光谱分辨率不断提高,信息量日益增大,给遥感图像的存储和传输带来了极大挑战,传统图像编码策略难以适应这种基于上行的遥感图像应用需求。本文提出一种基于小波低频子带预测的分布式遥感图像编码方案,利用预测插值的方法得到用于解码Wyner-Ziv的辅助信息,图像的低频信息采用小波零树编码方案,而预测误差图像采用基于均匀量化和位平面的Turbo混合编码方案;在解码端,以预测误差图像的码流作为辅助信息,将其与图像的低频信息码流进行联合解码。实验结果表明,提出方法具有编码效率高、失真率小、压缩比高、抗误码性强和码流具有质量可分级等特性。
With the continuous development of sensing technology, the time, space and spectral resolution of remote sensing images are continuously increased, and the amount of information is increasing day by day, which poses a great challenge to the storage and transmission of remote sensing images. Traditional image coding strategies are difficult to adapt to this uplink Application of remote sensing images. In this paper, we propose a distributed remote sensing image coding scheme based on wavelet subband prediction. We use the method of predictive interpolation to obtain the auxiliary information for Wyner-Ziv decoding. The low frequency information of the image adopts the wavelet zerotree coding scheme, while the prediction error image is Based on the uniform quantization and bit-plane Turbo hybrid coding scheme. At the decoding side, the bit stream of the prediction error image is used as auxiliary information to jointly decode the bit stream with the low frequency information bit stream of the image. The experimental results show that the proposed method has the characteristics of high coding efficiency, low distortion rate, high compression ratio, strong error resilience and code quality.