DocumentCode
953188
Title
Linear filtering of images based on properties of vision
Author
Algazi, V. Ralph ; Ford, Gary E. ; Chen, Hong
Author_Institution
Center for Image Process. & Integrated Comput., California Univ., Davis, CA, USA
Volume
4
Issue
10
fYear
1995
fDate
10/1/1995 12:00:00 AM
Firstpage
1460
Lastpage
1464
Abstract
The design of linear image filters based on properties of human visual perception has been shown to require the minimization of criterion functions in both the spatial and frequency domains. We extend this approach to continuous filters of infinite support. For lowpass filters, this leads to the concept of an ideal lowpass image filter that provides a response that is superior perceptually to that of the classical ideal lowpass filter
Keywords
digital filters; filtering theory; image processing; low-pass filters; minimisation; visual perception; continuous filters; criterion functions minimization; human visual perception; ideal lowpass image filter; image filtering; infinite support; linear filtering; linear image filters; vision properties; Active noise reduction; Adaptive filters; Additive noise; Frequency domain analysis; Humans; Image quality; Maximum likelihood detection; Noise reduction; Nonlinear filters; Visual perception;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.465112
Filename
465112
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