LINEAR-FILTERING OF IMAGES BASED ON PROPERTIES OF VISION

被引：6

作者：

ALGAZI, VR

FORD, GE

CHEN, H

机构：

[1] CIPIC, Center for Image Processing and Integrated Computing, University of California, Davis, Davis

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 10期

关键词：

D O I：

10.1109/83.465112

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. In this correspondence, 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.

引用

页码：1460 / 1464

页数：5

共 7 条

[1] FREQUENCY WEIGHTED LEAST-SQUARE DESIGN OF FINITE DURATION FILTERS [J].