IEEE Trans Image Process - Two-dimensional approach to full-reference image quality assessment based on positional structural information.

Tópicos

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{ inform(2794) health(2639) internet(1427) }
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{ gene(2352) biolog(1181) express(1162) }
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Resumo

A method for full-reference visual quality assessment based on the 2-D combination of two diverse metrics is described. The first metric is a measure of structural information loss based on the Fisher information about the position of the structures in the observed images. The second metric acts as a categorical indicator of the type of distortion that images underwent. These two metrics constitute the inner state of a virtual cognitive model, viewed as a system whose output is the automatic visual quality estimate. The use of a 2-D metric fills the intrinsic incompleteness of methods based on a single metric while providing consistent response across different image impairment factors and blind distortion classification capability with a modest computational overhead. The high accuracy and robustness of the method are demonstrated through cross-validation experiments.

Resumo Limpo

method fullrefer visual qualiti assess base d combin two divers metric describ first metric measur structur inform loss base fisher inform posit structur observ imag second metric act categor indic type distort imag underw two metric constitut inner state virtual cognit model view system whose output automat visual qualiti estim use d metric fill intrins incomplet method base singl metric provid consist respons across differ imag impair factor blind distort classif capabl modest comput overhead high accuraci robust method demonstr crossvalid experi

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