A Study of the Structural Similarity Image Quality Measure with Applications to Image Processing

A Study of the Structural Similarity Image Quality Measure with Applications to Image Processing

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Since its introduction in 2004, the Structural Similarity (SSIM) index has gained widespread popularity as an image quality assessment measure. SSIM is currently recognized to be one of the most powerful methods of assessing the visual closeness of images. That being said, the Mean Squared Error (M...

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Bibliographic Details
Main Author: Brunet, Dominique
Language:en
Published: 2012
Subjects:
Image Processing
Image Quality Assessment
Structural Similarity Index
Perceptual Coding
M-relative Metrics
Applied Mathematics
Online Access:http://hdl.handle.net/10012/6982

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