Image Quality Assessment: From Error Visibility to Structural Similarity

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Image Quality Assessment: From Error Visibility to Structural Similarity (2004)

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by Zhou Wang , Alan C. Bovik , Hamid R. Sheikh , Eero P. Simoncelli

Venue:	IEEE TRANSACTIONS ON IMAGE PROCESSING
Citations:	1499 - 113 self

BibTeX

@ARTICLE{Wang04imagequality,
    author = {Zhou Wang and Alan C. Bovik and Hamid R. Sheikh and Eero P. Simoncelli},
    title = {Image Quality Assessment: From Error Visibility to Structural Similarity},
    journal = {IEEE TRANSACTIONS ON IMAGE PROCESSING},
    year = {2004},
    volume = {13},
    number = {4},
    pages = {600--612}
}

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Abstract

Objective methods for assessing perceptual image quality have traditionally attempted to quantify the visibility of errors between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.

Keyphrases

image quality assessment error visibility structural similarity structural information alternative framework objective method human visual perception known property quality assessment state-of-the-art objective method subjective rating structural similarity index specific example intuitive example perceptual image quality human visual system reference image distorted image

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