Contextual Information Based Quality Assessment for Contrast-Changed Images

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 203
  • Download : 0
In this letter, we propose the objective metric that can precisely predict the perceptual quality of contrast-changed images using inter-pixel contextual information. The metric consists of two parts. One is a two-dimensional (2-D) histogram-based contrast quality measure that utilizes the distribution of the gray-level differences between adjacent pixels. We design the desired 2-D histogram considering the characteristic of an adequately high contrast image and predict contrast quality by comparing the desired 2-D histogram with 2-D histograms of an original image and a contrast-changed image. The other is a spatial entropy based one that uses the information of spatial location distribution of gray-levels. A comparison is carried out with many IQA metrics on five contrast related databases. Experimental results show that the proposed metric provides a more accurate prediction of human perception of contrast change than other metrics.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
ACCEPT
Language
English
Article Type
Article
Citation

IEEE SIGNAL PROCESSING LETTERS, v.26, no.1, pp.109 - 113

ISSN
1070-9908
DOI
10.1109/LSP.2018.2882916
URI
http://hdl.handle.net/10203/248650
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0