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