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Image Quality Assessment: From Error Visibility to Structural Similarity.
- Source :
-
IEEE Transactions on Image Processing . Apr2004, Vol. 13 Issue 4, p600-612. 13p. - Publication Year :
- 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 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 13
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 12915205
- Full Text :
- https://doi.org/10.1109/TIP.2003.819861