Please use this identifier to cite or link to this item:
Title: Blind measurement of blocking artifacts of images based on edge and flat-region detection
Authors: Xia, Yanhui
Wang, Zhengyou
Wang, Wan
Wang, Jin
Wan, Zheng
Lin, Weisi
Keywords: DRNTU::Engineering::Computer science and engineering::Software
Issue Date: 2013
Source: Xia, Y., Wang, Z., Wang, W., Wang, J., Wan, Z., & Lin, W. (2013). Blind measurement of blocking artifacts of images based on edge and flat-region detection. Journal of software, 8(1), 168-175.
Series/Report no.: Journal of software
Abstract: Image compression based on DCT often produces distortion of blocking effects, which seriously affect the visual quality of images. In order to detect the distortion of blocking effect, a new approach based on the flat region is presented in this article. The approach has a good correlation to characteristics of human perception, because human eyes are sensitive to the blocking effect which is produced at the flat regions of images, and it is also obvious in images. Further more, the approach is a non-reference image quality assessment. It does not only improve the efficiency, but also enhance the practicality of the algorithm. The approach has low complexity, high accuracy and good transplantation.
ISSN: 1796-217X
DOI: 10.4304/jsw.8.1.168-175
Rights: © 2013 Academy Publisher. This paper was published in Journal of Software and is made available as an electronic reprint (preprint) with permission of Academy Publisher. The paper can be found at the following official DOI: []. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles


Updated on Jan 22, 2021

Page view(s) 50

Updated on Jan 24, 2021

Download(s) 10

Updated on Jan 24, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.