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Assuming this generalized model, we derive a comprehensive collection of formulas for the distribution of the actual DCT coefficients. The corresponding estimation procedures are derived by the method of moments and the method of maximum likelihood. Finally, the superior performance of the derived distributions over the standard Gaussian and Laplace models is illustrated. It is expected that this work could serve as a useful reference and lead to improved modeling with respect to image analysis and image coding.<\/jats:p>","DOI":"10.1142\/s021969131000378x","type":"journal-article","created":{"date-parts":[[2010,9,21]],"date-time":"2010-09-21T09:27:48Z","timestamp":1285061268000},"page":"793-812","source":"Crossref","is-referenced-by-count":2,"title":["GG DCT COEFFICIENT MODELS"],"prefix":"10.1142","volume":"08","author":[{"given":"SARALEES","family":"NADARAJAH","sequence":"first","affiliation":[{"name":"School of Mathematics, University of Manchester, Manchester M13 9PL, UK"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","first-page":"90","volume":"23","author":"Ahmed N.","journal-title":"IEEE Trans. Comput."},{"key":"rf2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/0096-3003(85)90008-6","volume":"16","author":"Wang Z.","journal-title":"Appl. Math. 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