DocumentCode :
2380396
Title :
Wavelet atoms approximation for simultaneous image compression and de-noising
Author :
Bruni, V. ; Vitulano, D.
Author_Institution :
Ist. per le Applicazioni del Calcolo, CNR, Rome, Italy
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
WISDOW-Comp is a scheme for simultaneous image compression and denoising. Its key issue consists of firstly expanding the input image in a basis of wavelets. The corresponding coefficients can be then seen as waves that travel through both space and scales. Thus the overlapping effects principle can be applied to manage waves interference. Each atom is characterized by the amplitude and the location of its absolute modulus maximum. This powerful representation allows us to sent to the decoder just the low pass component of the image and the significance map of atoms absolute maxima for achieving a denoised image. Experimental results show that the proposed comp-denoiser outperforms the state of the art in terms of both rate and distortion.
Keywords :
approximation theory; data compression; decoding; image coding; image denoising; wavelet transforms; decoder; image compression; image denoising; wavelet atoms approximation; Decoding; Image coding; Image processing; Interference; Noise reduction; Rate distortion theory; Signal denoising; Space exploration; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530396
Filename :
1530396
Link To Document :
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