Image Quality Assessment: From Error Visibility to Structural Similarity
Volume: 13, Issue: 4, Pages: 600 - 612
Published: Apr 1, 2004
Abstract
Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) 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 complementary framework for quality assessment based on...
Paper Details
Title
Image Quality Assessment: From Error Visibility to Structural Similarity
Published Date
Apr 1, 2004
Volume
13
Issue
4
Pages
600 - 612
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