Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression

Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression

Bibliographic Details
Parent link:MATEC Web of Conferences
Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01072, 15 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ)
Other Authors: Bekhtin Yu. Yury, Lupachev A. Alexander, Titov D. Dmitry, Syryamkin V. I. Vladimir Ivanovich
Summary: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.
Language:English
Published: 2016
Subjects:
электронный ресурс
труды учёных ТПУ
вейвлет-сжатие
изображения
компьютерное моделирование
пороговые значения
сейсмические импульсы
сжатие данных
шумы
РЛС
Online Access:http://dx.doi.org/10.1051/matecconf/20167901072
http://earchive.tpu.ru/handle/11683/35272
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563

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