DocumentCode
1706196
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
Volume
1
fYear
1995
Firstpage
156
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location
Montreal, Que.
ISSN
0840-7789
Print_ISBN
0-7803-2766-7
Type
conf
DOI
10.1109/CCECE.1995.528098
Filename
528098
Link To Document