DocumentCode :
2754593
Title :
An efficient image compression technique using variable quadtree resolution and neural networks
Author :
Wahdan, A.-M.A. ; Badr, A.Z. ; Mostafa, Tamer
Author_Institution :
Dept. of Comput. & Syst. Eng., Ainshams Univ., Cairo, Egypt
fYear :
1999
fDate :
23-25 Feb 1999
Abstract :
We propose to realize the use of quadtree image decomposition with neural networks for the target of obtaining compression results better than the algorithms that are based mainly on neural networks. The process of iterative image decomposition is based mainly on a constant block identifier which depends on the characteristics of the human visual system
Keywords :
backpropagation; data compression; image coding; iterative methods; neural nets; quadtrees; visual perception; backpropagation network; constant block identifier; efficient image compression; human visual system; iterative image decomposition; neural networks; quadtree image decomposition; variable quadtree resolution; Humans; Image coding; Image decomposition; Image resolution; Image storage; Modeling; Neural networks; Noise measurement; PSNR; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 1999. NRSC '99. Proceedings of the Sixteenth National
Conference_Location :
Cairo
Print_ISBN :
977-5031-62-1
Type :
conf
DOI :
10.1109/NRSC.1999.760900
Filename :
760900
Link To Document :
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