NDLI: Quantifying the visual quality of wavelet-compressed images based on local contrast, visual masking, and global precedence

Content Provider	IEEE Xplore Digital Library
Author	Chandler, D.M. Masry, M.A. Hemami, S.S.
Copyright Year	2003
Description	Author affiliation: Visual Commun. Lab., Cornell Univ., Ithaca, NY, USA (Chandler, D.M.; Masry, M.A.; Hemami, S.S.)
Abstract	The paper presents a two-stage metric which quantifies the visual quality of images that have undergone wavelet-based compression. The first stage operates via a model of visual pattern masking, which takes as input original and distorted images, and which outputs masked contrast detection thresholds. For distortions beyond the threshold of detection, the images and the thresholds are fed into a second stage which estimates visual quality based on the distance between the distribution of assumed ideal and actual contrast signal-to-noise ratios across scale-space. Results indicate that the proposed metric yields a higher correlation with subjective-rating data than other visual quality metrics when applied to a sample of wavelet-coded images (with rates ranging from approximately 0.08-0.85 bits/pixel) for which peak signal-to-noise ratio correlates poorly with subjective quality.
Starting Page	1393
Ending Page	1397
File Size	545715
Page Count	5
File Format	PDF
ISBN	0780381041
DOI	10.1109/ACSSC.2003.1292215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Distortion Humans Pixel Image coding Quantization Discrete wavelet transforms Visual communication PSNR Quality assessment
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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