Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression; MATEC Web of Conferences; Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016)

Detaylı Bibliyografya
Parent link:MATEC Web of Conferences
Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01072, 15 p.]
Müşterek Yazar: Национальный исследовательский Томский политехнический университет (ТПУ)
Diğer Yazarlar: Bekhtin Yu. Yury, Lupachev A. Alexander, Titov D. Dmitry, Syryamkin V. I. Vladimir Ivanovich
Özet: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.
Dil:İngilizce
Baskı/Yayın Bilgisi: 2016
Konular:
Online Erişim:http://dx.doi.org/10.1051/matecconf/20167901072
http://earchive.tpu.ru/handle/11683/35272
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563

Benzer Materyaller