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|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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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