Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/107179
Type: Artigo de periódico
Title: Statistical Models For Quality Criteria Of Image Compression Algorithms
Author: De Hoyos A.
Allan Leskow L.
Abstract: The main purpose of this work was to develop statistical models that would allow us to define efficient quality criteria for image compression algorithms. The statistical models were developed using several Multivariate Analysis techniques as well as some ideas that come from Information Theory. For testing the image quality models, four different and very popular image compression algorithms were used. Moreover, for efficiency comparison purposes, a poll was used to obtain a subjective measure of image quality. As a result of this work two new statistical image quality criteria were developed that in general behave better than the classical ones based on a global measure of the Mean Quadratic Error. © 2000 VSP.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84867972411&partnerID=40&md5=b1cbe79091ac713eadb797f834cda06d
Date Issue: 2000
Appears in Collections:Unicamp - Artigos e Outros Documentos

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