Adaptive wavelet codec for noisy image compression

Abstract

It is proposed an adaptive, data-driven wavelet-based method for lossy compression of noisy images. The suggested method uses a common criterion to simultaneously estimate the values of threshold and quantization interval. The results of modeling show the advantage of the designed codec comparing to well-known codecs in the sense of PSNR and SSIM criteria.