本代码是基于Bandelet的硬阈值SAR图像去噪，结果与小波变换进行对比，结果表示其在峰值信噪比，边缘保持系数上均有一定的提高。压缩包中有程序和SAR图像。-This code is based on Bandelet SAR image denoising with a hard threshold .the results were compared with the wavelet transform, and the results indicated that in the peak

二代Bandelet变换，可以用其实现图像的稀疏表示，从而实现图像去噪，压缩等处理。-Second generation Bandelet transformation can be achieved with its sparse image, said in order to achieve the image de-noising, compression and other processing.

基于Bandelet变换的图像压缩，包括基于SPIHT、霍夫曼等压缩编码解码，比较无损有损压缩。-Bandelet transform based image compression, including those based on SPIHT, Huffman compression codecs such as compare lossless lossy compression.

Bandelet image approximation and compression