{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T13:07:16Z","timestamp":1759496836655},"reference-count":23,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p> The work is concentrated to get good despeckled performance under non-homomorphic framework by involving simple distributions to obtain closed form Maximum-a-Posteriori probability (MAP) solutions. To estimate noise-free wavelet coefficient, distributions with lesser number of parameters allied Laplacian\/Gaussian probability density function (pdf) for signal reflectivity and Rayleigh\/Gaussian pdf for noisy signal are employed. Thus, the four despeckling methods are formed, namely LRMAP, GRMAP, LGMAP and GGMAP to despeckle SAR images and the effectiveness of different distributions is studied. The despeckling method is made adaptive by estimating the local variance of high frequency image using wavelet sub-band coefficient statistics. Also, the parameter space used in the proposed methods does not involve initialization, iterative search and convergence problems. The performances of the proposed methods are evaluated in terms of Equivalent Number of Looks (ENL), Peak Signal to Noise Ratio (PSNR), Edge Preservation ([Formula: see text] and Mean Structural Similarity Index Measure (MSSIM). Experimental results show that LRMAP yields good results over all methods and GGMAP does not perform good for all images in terms of all quality metrics. Also, the proposed methods yield good quality metrics in less computing time as compared with the method available in the literature. <\/jats:p>","DOI":"10.1142\/s0219691317500035","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T10:24:36Z","timestamp":1476872676000},"page":"1750003","source":"Crossref","is-referenced-by-count":7,"title":["Comparative study of statistical modeling of wavelet coefficients for SAR image despeckling"],"prefix":"10.1142","volume":"15","author":[{"given":"M. N.","family":"Sumaiya","sequence":"first","affiliation":[{"name":"Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India"}]},{"given":"R. Shantha Selva","family":"Kumari","sequence":"additional","affiliation":[{"name":"Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India"}]}],"member":"219","published-online":{"date-parts":[[2017,1,3]]},"reference":[{"key":"S0219691317500035BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/42.938245"},{"key":"S0219691317500035BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.805083"},{"key":"S0219691317500035BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2011.2158798"},{"key":"S0219691317500035BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881970"},{"key":"S0219691317500035BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/18.382009"},{"key":"S0219691317500035BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/83.892442"},{"key":"S0219691317500035BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1982.4767223"},{"key":"S0219691317500035BIB010","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.66.001145"},{"key":"S0219691317500035BIB011","doi-asserted-by":"publisher","DOI":"10.1049\/ip-vis:20050975"},{"key":"S0219691317500035BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.09.016"},{"key":"S0219691317500035BIB013","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016214"},{"key":"S0219691317500035BIB014","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.07.008"},{"key":"S0219691317500035BIB015","doi-asserted-by":"publisher","DOI":"10.1117\/12.7973877"},{"key":"S0219691317500035BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/36.62623"},{"key":"S0219691317500035BIB018","volume-title":"Understanding Synthetic Aperture Radar Images","author":"Oliver C.","year":"1998"},{"key":"S0219691317500035BIB020","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.923140"},{"key":"S0219691317500035BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2089780"},{"key":"S0219691317500035BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/83.585239"},{"key":"S0219691317500035BIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2015.10.013"},{"key":"S0219691317500035BIB024","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.821885"},{"key":"S0219691317500035BIB025","volume-title":"Hand-Book on Statistical Distributions for Experimentalists","author":"Walck C.","year":"2007"},{"key":"S0219691317500035BIB026","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"S0219691317500035BIB027","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001409007260"}],"container-title":["International Journal of Wavelets, Multiresolution and Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219691317500035","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:26:10Z","timestamp":1565126770000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219691317500035"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":23,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2017,1,3]]},"published-print":{"date-parts":[[2017,1]]}},"alternative-id":["10.1142\/S0219691317500035"],"URL":"https:\/\/doi.org\/10.1142\/s0219691317500035","relation":{},"ISSN":["0219-6913","1793-690X"],"issn-type":[{"value":"0219-6913","type":"print"},{"value":"1793-690X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]}}}