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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| সংস্থা লেখক: | |
| অন্যান্য লেখক: | , , , |
| সংক্ষিপ্ত: | 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. |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
2016
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://dx.doi.org/10.1051/matecconf/20167901072 http://earchive.tpu.ru/handle/11683/35272 |
| বিন্যাস: | বৈদ্যুতিক গ্রন্থের অধ্যায় |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651563 |
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| 200 | 1 | |a Fusion of Thresholding Rules During Wavelet-Based Noisy Image Compression |f Yu. Bekhtin [et al.] | |
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| 330 | |a 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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| 463 | 0 | |0 (RuTPU)RU\TPU\network\16675 |t Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016) |o VII Scientific Conference with International Participation, May 25-28, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. A. V. Yurchenko ; V. I. Syryamkin |v [01072, 15 p.] |d 2016 | |
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