Optimization method to reduce blocking artifacts in JPEG images

Reza Pourreza-Shahri, Siamak Yousefi, Nasser Kehtarnavaz

Research output: Contribution to journalArticle

Abstract

This paper presents an optimization method to reduce blocking artifacts in JPEG images by utilizing the image gradient information. A closed-form solution is derived for the optimization method. To address the computational feasibility aspect of the large matrices involved in the closed-form solution, a sliding window approach is devised. The performance of the developed method is compared with several blocking artifacts reduction methods in the literature and also with the deblocking filter deployed in high efficiency video coding by examining the three measures of peak signal-to-noise ratio, generalized block-edge impairment metric (MGBIM), and structural similarity. The comparison results indicate the effectiveness of the introduced method in particular for low bit-rate JPEG images.

Original languageEnglish (US)
Article number063023
JournalJournal of Electronic Imaging
Volume23
Issue number6
DOIs
StatePublished - Nov 1 2014

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artifacts
optimization
Image coding
Signal to noise ratio
impairment
sliding
coding
signal to noise ratios
filters
gradients
matrices

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Optimization method to reduce blocking artifacts in JPEG images. / Pourreza-Shahri, Reza; Yousefi, Siamak; Kehtarnavaz, Nasser.

In: Journal of Electronic Imaging, Vol. 23, No. 6, 063023, 01.11.2014.

Research output: Contribution to journalArticle

Pourreza-Shahri, Reza ; Yousefi, Siamak ; Kehtarnavaz, Nasser. / Optimization method to reduce blocking artifacts in JPEG images. In: Journal of Electronic Imaging. 2014 ; Vol. 23, No. 6.
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