Multi-scale structural similarity for image quality assessment

Zhou Wang; Eero P. Simoncelli; Alan C. Bovik

Multi-scale structural similarity for image quality assessment

Zhou Wang, Eero P. Simoncelli, Alan C. Bovik

Neural Science

Research output: Contribution to journal › Conference article › peer-review

Abstract

The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.

Original language	English (US)
Pages (from-to)	1398-1402
Number of pages	5
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
State	Published - 2003
Event	Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 9 2003 → Nov 12 2003

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Cite this

@article{583d8b59c51a4f3e9bd0b90731111848,

title = "Multi-scale structural similarity for image quality assessment",

abstract = "The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.",

author = "Zhou Wang and Simoncelli, {Eero P.} and Bovik, {Alan C.}",

year = "2003",

language = "English (US)",

volume = "2",

pages = "1398--1402",

journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",

issn = "1058-6393",

publisher = "IEEE Computer Society",

note = "Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers ; Conference date: 09-11-2003 Through 12-11-2003",

}

TY - JOUR

T1 - Multi-scale structural similarity for image quality assessment

AU - Wang, Zhou

AU - Simoncelli, Eero P.

AU - Bovik, Alan C.

PY - 2003

Y1 - 2003

N2 - The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.

AB - The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=4143089652&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=4143089652&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:4143089652

SN - 1058-6393

VL - 2

SP - 1398

EP - 1402

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

T2 - Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers

Y2 - 9 November 2003 through 12 November 2003

ER -

Multi-scale structural similarity for image quality assessment

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this