Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression

Dades bibliogràfiques
Parent link:MATEC Web of Conferences
Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01072, 15 p.]
Altres autors: Bekhtin Yu. Yury, Lupachev A. Alexander, Titov D. Dmitry, Syryamkin V. I. Vladimir Ivanovich
Sumari:Title screen
The new method for combining semisoft thresholding rules during wavelet-based data compression of images with multiplicative noise is suggested. The method chooses the best thresholding rule and the threshold value using the proposed criteria which provide the best nonlinear approximations and take into consideration errors of quantization. The results of computer modeling have shown that the suggested method provides relatively good image quality after restoration in the sense of some criteria such as PSNR, SSIM, etc.
Idioma:anglès
Publicat: 2016
Matèries:
Accés en línia:http://dx.doi.org/10.1051/matecconf/20167901072
http://earchive.tpu.ru/handle/11683/35272
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563