Noise image compressed coding based on edge detection
基于边缘检测的噪声图像压缩编码方法

Edge blurring phenomenon, which occurs in the wavelet-based image compression algorithms under noised image or low bit rates, remains an open question for many years. Therefore, this paper presented a method of noise image compression and coding based on edge detection. Firstly, the image was wavelet edge detected, the detected wavelet coefficients were protected, and then the noise was removed by soft-threshold method, and at last we compressed and coded it by using Set Partitioning in Hierarchical Trees (SPIHT) method. The experimental result shows that this method not only achieve high compression ratio, remove noise well but also solve edge blurring problem better.