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No‐Reference Image Quality Evaluation Model for JPEG and JPEG2000 Images
Author(s) -
Parvez Sazzad Z. M.,
Kawayoke Y.,
Horita Y.
Publication year - 2008
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20278
Subject(s) - jpeg 2000 , jpeg , artificial intelligence , block (permutation group theory) , computer vision , computer science , image quality , pixel , image (mathematics) , quality (philosophy) , standard test image , joint (building) , image compression , image processing , mathematics , engineering , architectural engineering , philosophy , geometry , epistemology
In this paper, we present a new no‐reference (NR) image quality evaluation model for Joint Photographic Experts Group (JPEG) and JPEG2000 coded images. The proposed model is based on the blockiness around the block boundary, average absolute difference between adjacent pixels within the block, and zero‐crossing (ZC) rate within the block of the image. Subjective experimental results of the Laboratory for Image and Video Engineering (LIVE) Image Quality Assessment Database were used to train and test the model, which achieved sufficient quality prediction performance. Copyright © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.