DocumentCode :
3465400
Title :
Image quality metrics based on single and multi-channel models of visual processing
Author :
Farrell, J.E. ; Xuemei Zhang ; Van Den Branden Lambrecht, C.J. ; Silverstein, D.A.
Author_Institution :
Hewlett-Packard Co., Palo Alto, CA, USA
fYear :
1997
fDate :
23-26 Feb. 1997
Firstpage :
56
Lastpage :
60
Abstract :
We review two classes of image analysis tools based on single and multiple channel models of human vision processing. These tools were designed to predict the visibility of printed dots and halftone texture, respectively.
Keywords :
image processing; quality control; halftone texture; human vision processing; image analysis tools; image quality metrics; multi channel models; multiple channel models; printed dot visibility; visual processing; Frequency; Humans; Image coding; Image quality; Image texture analysis; Optical distortion; Optical filters; Optical modulation; Optical sensors; Printers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Compcon '97. Proceedings, IEEE
Conference_Location :
San Jose, CA, USA
ISSN :
1063-6390
Print_ISBN :
0-8186-7804-6
Type :
conf
DOI :
10.1109/CMPCON.1997.584672
Filename :
584672
Link To Document :
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