Kurtosis-based no-reference quality assessment of JPEG2000 images

Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.image.2010.11.003

Title:	Kurtosis-based no-reference quality assessment of JPEG2000 images
Authors:	Zhang, J. Ong, S.H. Le, T.M.
Keywords:	Image quality assessment JPEG2000 Kurtosis No-reference image quality assessment
Issue Date:	Jan-2011
Citation:	Zhang, J., Ong, S.H., Le, T.M. (2011-01). Kurtosis-based no-reference quality assessment of JPEG2000 images. Signal Processing: Image Communication 26 (1) : 13-23. ScholarBank@NUS Repository. https://doi.org/10.1016/j.image.2010.11.003
Abstract:	No-reference (NR) image quality assessment (QA) presumes no prior knowledge of reference (distortion-free) images and seeks to quantitatively predict visual quality solely from the distorted images. We develop kurtosis-based NR quality measures for JPEG2000 compressed images in this paper. The proposed measures are based on either 1-D or 2-D kurtosis in the discrete cosine transform (DCT) domain of general image blocks. Comprehensive testing demonstrates their good consistency with subjective quality scores as well as satisfactory performance in comparison with both the representative full-reference (FR) and state-of-the-art NR image quality measures. © 2010 Elsevier B.V. © 2010 ElsevierB.V.Allrightsreserved.
Source Title:	Signal Processing: Image Communication
URI:	http://scholarbank.nus.edu.sg/handle/10635/56447
ISSN:	09235965
DOI:	10.1016/j.image.2010.11.003
Appears in Collections:	Staff Publications

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