Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression; MATEC Web of Conferences; Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016)
| Parent link: | MATEC Web of Conferences Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01072, 15 p.] |
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| Tác giả của công ty: | |
| Tác giả khác: | , , , |
| Tóm tắt: | 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. |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
2016
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://dx.doi.org/10.1051/matecconf/20167901072 http://earchive.tpu.ru/handle/11683/35272 |
| Định dạng: | Điện tử Chương của sách |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563 |
| Tóm tắt: | 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 |