Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression
| Parent link: | MATEC Web of Conferences Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01072, 15 p.] |
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| 其他作者: | , , , |
| 總結: | 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. |
| 語言: | 英语 |
| 出版: |
2016
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| 主題: | |
| 在線閱讀: | http://dx.doi.org/10.1051/matecconf/20167901072 http://earchive.tpu.ru/handle/11683/35272 |
| 格式: | 電子 Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563 |
| 總結: | 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. |
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| DOI: | 10.1051/matecconf/20167901072 |