DocumentCode
2834330
Title
Adaptive wavelet codec for noisy image compression
Author
Bekhtin, Yuri S.
Author_Institution
Ryazan State Radioeng. Univ., Ryazan, Russia
fYear
2011
fDate
9-12 Sept. 2011
Firstpage
184
Lastpage
188
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Design & Test Symposium (EWDTS), 2011 9th East-West
Conference_Location
Sevastopol
Print_ISBN
978-1-4577-1957-8
Type
conf
DOI
10.1109/EWDTS.2011.6116587
Filename
6116587
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