No-reference perceptual image quality metric using gradient profiles for JPEG2000

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

61 Scopus Citations
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Author(s)

  • Luhong Liang
  • Jianhua Chen
  • Siwei Ma
  • Debin Zhao
  • Wen Gao

Detail(s)

Original languageEnglish
Pages (from-to)502-516
Journal / PublicationSignal Processing: Image Communication
Volume25
Issue number7
Online published1 Feb 2010
Publication statusPublished - Aug 2010
Externally publishedYes

Abstract

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.

Research Area(s)

  • Blur, Gradient profile, Image compression, JPEG2000, Perceptual quality, Ringing

Citation Format(s)

No-reference perceptual image quality metric using gradient profiles for JPEG2000. / Liang, Luhong; Wang, Shiqi; Chen, Jianhua; Ma, Siwei; Zhao, Debin; Gao, Wen.

In: Signal Processing: Image Communication, Vol. 25, No. 7, 08.2010, p. 502-516.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review