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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958072
