Simultaneous noise reduction and SAR image data compression using best wavelet packet basis
نویسندگان
چکیده
We propose a novel method for simultaneous noise reduction and data compression based on shrinking, quantizing and coding the wavelet packet (WP) coeecients. A dynamic programming and fast pruning algorithm is used to eeciently choose the best basis from the entire library of admissible WP bases, and jointly optimize the bit allocation strategy and the quantization scheme in the rate-distortion framework. Soft-thresholding in the wavelet domain can signiicantly suppress noise, e.g., the speckles of the synthetic aperture radar images, while maintaining bright re-ections for subsequent detection and recognition. Optimal bit allocation, quantization and entropy coding achieve the goal of compression while maintaining the delity of the image .
منابع مشابه
Simultaneous speckle reduction and data compression using bestwavelet packet bases with application to SAR based ATD /
We propose a novel method for simultaneous speckle reduction and data compression based on shrinking, quantizing and coding the wavelet packet coeecients of the logarithmically transformed image. A fast algorithm is used to nd the best wavelet packet basis in the rate-distortion sense from the entire library of admissible wavelet packet bases. Soft-thresholding in wavelet domain can signiicantl...
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