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
fDate :
10/1/1995 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
