Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCE.2010.5505996
Title: A new no-reference quality metric for JPEG2000 images
Authors: Zhang, J. 
Le, T.M. 
Keywords: image quality assessment
JPEG2000
No-reference image quality assessment
Issue Date: May-2010
Citation: Zhang, J., Le, T.M. (2010-05). A new no-reference quality metric for JPEG2000 images. IEEE Transactions on Consumer Electronics 56 (2) : 743-750. ScholarBank@NUS Repository. https://doi.org/10.1109/TCE.2010.5505996
Abstract: A new technique is developed for no-reference (NR) quality assessment (QA) of JPEG2000 images. Based on the basic activity of general pixels, the proposed measure overcomes the limitations imposed by feature/structure extraction of distorted images. Besides, its structural contentweighted pooling approach involves no parameter and avoids additional procedures and training data for parameter determination. The effectiveness of the proposed measure is demonstrated through its close correlation with subjective quality scores. Besides, the proposed NR quality measure is shown better than the full-reference (FR) quality measure of peak signal-to-noise ratio (PSNR), comparable to the FR quality measure of structural similarity (SSIM) index, and quite competitive among the state-of-the-art NR quality measures. With satisfactory performance at reasonably computational expense and with ease of implementation, the proposed technique is proven to be a quality metric of choice for JPEG2000 images. © 2006 IEEE.
Source Title: IEEE Transactions on Consumer Electronics
URI: http://scholarbank.nus.edu.sg/handle/10635/54536
ISSN: 00983063
DOI: 10.1109/TCE.2010.5505996
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