DocumentCode
1671386
Title
Pyramidal perceptual filtering using Moon and Spencer contrast
Author
Iordache, R. ; Beghdadi, A. ; De Lesegno, P. Viaris
Author_Institution
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
146
Abstract
A perceptual multiresolution filtering method (Moon and Spencer, 1945) based on human perception models is proposed. The main idea is to detect and remove the irrelevant structures at different scales using the just-noticeable contrast notion and luminance adaptation. The processing is done in the Laplacian and Gaussian pyramid decompositions of the image. The consistency of the method is demonstrated on a gray-level image
Keywords
filtering theory; image reconstruction; image resolution; low-pass filters; nonlinear filters; visual perception; Gaussian pyramid decompositions; Laplacian pyramid decompositions; Moon and Spencer contrast; gray-level image; human perception models; image decomposition; just-noticeable contrast notion; luminance adaptation; perceptual multiresolution filtering; Filtering; Humans; Image reconstruction; Image resolution; Laboratories; Laplace equations; Low pass filters; Moon; Signal processing; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958072
Filename
958072
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