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No-reference perceptual image quality metric using gradient profiles for JPEG2000 / Luhong Liang in Signal processing. Image communication, Vol. 25 N° 7 (Août 2010) 

Public ISBD [article]  in Signal processing. Image communication > Vol. 25 N° 7 (Août 2010) . - pp. 502–516 Titre : No-reference perceptual image quality metric using gradient profiles for JPEG2000 Type de document : texte imprimé Auteurs : Luhong Liang, Auteur ; Shiqi Wang, Auteur ; Jianhua Chen, Auteur Année de publication : 2012 Article en page(s) : pp. 502–516 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Blur  Ringing  Perceptual  quality  Gradient  profile  Image  compression  JPEG2000 Résumé : No-reference measurement of perceptual image quality is a crucial and challenging issue in modern image processing applications. One of the major difficulties is that some inherent features of natural images and artifacts are possibly rather ambiguous. In this paper, we tackle this problem using statistical information on image gradient profiles and propose a novel quality metric for JPEG2000 images. The key part of the metric is a histogram representing the sharpness distribution of the gradient profiles, from which a blur metric that is insensitive to inherently blurred structures in the natural image is established. Then a ringing metric is built based on ringing visibilities of regions associated with the gradient profiles. Finally, a combination model optimized through plenty of experiments is developed to predict the perceived image quality. The proposed metric achieves performance competitive with the state-of-the-art no-reference metrics on public datasets and is robust to various image contents. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510000160 [article] No-reference perceptual image quality metric using gradient profiles for JPEG2000 [texte imprimé] / Luhong Liang, Auteur ; Shiqi Wang, Auteur ; Jianhua Chen, Auteur . - 2012 . - pp. 502–516. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 7 (Août 2010) . - pp. 502–516 Mots-clés : Blur  Ringing  Perceptual  quality  Gradient  profile  Image  compression  JPEG2000 Résumé : No-reference measurement of perceptual image quality is a crucial and challenging issue in modern image processing applications. One of the major difficulties is that some inherent features of natural images and artifacts are possibly rather ambiguous. In this paper, we tackle this problem using statistical information on image gradient profiles and propose a novel quality metric for JPEG2000 images. The key part of the metric is a histogram representing the sharpness distribution of the gradient profiles, from which a blur metric that is insensitive to inherently blurred structures in the natural image is established. Then a ringing metric is built based on ringing visibilities of regions associated with the gradient profiles. Finally, a combination model optimized through plenty of experiments is developed to predict the perceived image quality. The proposed metric achieves performance competitive with the state-of-the-art no-reference metrics on public datasets and is robust to various image contents. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510000160