Title :
Objective measurement of image impairments. Blocking, blurring, and spatial edge noise
Author :
Bishtawi, Wajih W. ; Lynch, William E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
The impairment detection method (IDM) is proposed. It is an objective measurement technique of subjective image quality. Given the original and reproduced image as inputs, both images are divided into three areas: flat area, texture area, and sharp edge area. Features are extracted from each area using gradient vector block analysis. The IDM produces three output parameters that measure blocking distortion, blurring, and spatial edge noise
Keywords :
feature extraction; image coding; image segmentation; image texture; noise; blocking distortion; blurring; feature extraction; flat area; gradient vector block analysis; image coding; image impairments; impairment detection method; objective measurement; output parameters; sharp edge area; spatial edge noise; subjective image quality; texture area; Distortion measurement; Histograms; Humans; Image coding; Image quality; Mean square error methods; Measurement techniques; Noise measurement; Pixel; Signal processing;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.528098
