Title :
A dynamic denoising natural image compression
Author :
Huang, Yaping ; Luo, Siwei ; Chen, Enyi
Author_Institution :
Dept. of Comput. Sci. & Technol., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper provides a new compression of natural images, which transforms image data by independent component analysis (ICA), estimates every component based on the sparseness properties related to simple-cell receptive fields closely and compresses the transformed data making use of runlength coding. This method can not only compress natural images efficiently, but also remove the noise of the images at the same time.
Keywords :
data compression; image coding; image denoising; independent component analysis; neural nets; runlength codes; ICA; dynamic denoising; independent component analysis; natural image compression; neural computing; runlength coding; simple-cell receptive fields; transformed data; Computer science; Digital images; Entropy; Fourier transforms; Image analysis; Image coding; Independent component analysis; Noise reduction; Predictive models; Principal component analysis;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180000
