Title :
A NR-IQA Based on Product of Information Entropy and Contrast
Author :
Xie, Z.X. ; Hu, Q. ; Wang, Z.F. ; Liu, Y.H.
Author_Institution :
Dept. of Biomed. Eng., Chongqing Med. Univ., Chongqing
Abstract :
A method of a no reference image quality assessment (NR-IQA) is reported based on the product of information entropy and averaging contrast in this paper. Based on the study of the variation of information entropy and averaging contrast with transformation parameters in an image gray transformation called Zadeh-X transformation, a no reference image quality assessment function constructed by the product of information entropy and mean contrast, PIC, can be established. A criterion for the optimal image is determined by the maximum of no reference image quality assessment function. An then the best quality image can be created by the gray transformation.
Keywords :
entropy; image colour analysis; statistical analysis; Zadeh-X transformation; averaging contrast; image color analysis; image gray transformation; information entropy; no reference image quality assessment; uniform distribution histogram; averaging contrast; gray transformation; information entropy; no reference image quaity assessment; the best quality image;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.98
