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Báo cáo toán học: " Robust flash denoising/deblurring by iterative guided filtering"

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Robust flash denoising/deblurring by iterative guided filtering | EURASIP Journal on Advances in Signal Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Robust flash denoising deblurring by iterative guided filtering EURASIP Journal on Advances in Signal Processing 2012 2012 3 doi 10.1186 1687-6180-2012-3 Hae-Jong Seo seoha@sharplabs.com Peyman Milanfar milanfar@ee.ucsc.edu ISSN 1687-6180 Article type Research Submission date 23 June 2011 Acceptance date 6 January 2012 Publication date 6 January 2012 Article URL http asp.eurasipjournals.com content 2012 1 3 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP Journal on Advances in Signal Processing go to http asp.eurasipjournals.com authors instructions For information about other SpringerOpen publications go to http www.springeropen.com 2012 Seo and Milanfar licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Robust flash denoising deblurring by iterative guided filtering Hae-Jong Seo 1 and Peyman Milanfar2 1Sharp Labs of America Camas WA 98683 USA 2University of California-Santa Cruz 1156 High street Santa Cruz CA 95064 USA Corresponding author seoha@sharplabs.com E-mail address PM milanfar@soe.ucsc.edu Abstract A practical problem addressed recently in computational photography is that of producing a good picture of a poorly lit scene. The consensus approach for solving this problem involves capturing two images and merging them. In particular using a flash produces one typically high signal-to-noise ratio SNR image and turning off the fash .