DocumentCode :
2771903
Title :
Edge Preserving Lossy Image Compression with Wavelets and Contourlets
Author :
Villegas, Osslan Osiris Vergara ; Elías, Raúl Pinto ; Villela, Patricia Rayón ; Salazar, Andrea Magadán
Author_Institution :
Centro Nacional de Investigacion y Desarrollo Tecnologico, Morelos
Volume :
1
fYear :
2006
fDate :
26-29 Sept. 2006
Firstpage :
3
Lastpage :
8
Abstract :
In this paper an edge preserving lossy image coder is presented. An edge image is obtained from the original with a digital image processing module using four different filters: Canny, Sobel, Roberts and Prewitt, then the original image is domain transformed with wavelets or contourlets, and a pixel mapping from original domain to transformed is done. For the compression, the edges points and the approximation image (which determines the compression factor) are selected; finally the image is decompressed in order to observe the reconstruction quality and edge preserving. Additionally, the results obtained from comparisons of error measures between original and decompressed images are shown and finally conclusions about the coder are presented
Keywords :
data compression; discrete wavelet transforms; edge detection; filtering theory; image coding; image reconstruction; Canny filter; Prewitt filter; Roberts filter; Sobel filter; approximation image; digital image processing; discrete contourlet transform; discrete wavelet transform; edge preserving lossy image compression; image reconstruction quality; lossy image coder; pixel mapping; Data mining; Digital filters; Digital images; Image coding; Image edge detection; Image storage; Pixel; Space technology; Testing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
Type :
conf
DOI :
10.1109/CERMA.2006.39
Filename :
4019704
Link To Document :
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