Title :
Adaptive wavelet codec for noisy image compression
Author :
Bekhtin, Yuri S.
Author_Institution :
Ryazan State Radioeng. Univ., Ryazan, Russia
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.
Keywords :
codecs; data compression; image coding; wavelet transforms; PSNR criteria; SSIM criteria; adaptive wavelet codec; noisy image compression; quantization interval; threshold interval; Codecs; Image coding; Noise measurement; PSNR; Quantization; Wavelet coefficients;
Conference_Titel :
Design & Test Symposium (EWDTS), 2011 9th East-West
Conference_Location :
Sevastopol
Print_ISBN :
978-1-4577-1957-8
DOI :
10.1109/EWDTS.2011.6116587
