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|Title:||Kurtosis-based no-reference quality assessment of JPEG2000 images||Authors:||Zhang, J.
|Keywords:||Image quality assessment
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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