DocumentCode :
2274175
Title :
Perfect Compression Technique in Combination with Training Algorithm and Wavelets
Author :
Tomar, K. ; Khuteta, A.
Author_Institution :
CSE Dept., Poornima Coll. of Eng., Jaipur, India
fYear :
2013
fDate :
6-8 April 2013
Firstpage :
127
Lastpage :
132
Abstract :
This paper presents a new algorithm for neural network with different techniques. Experimental results show that this algorithm outperforms other coders such as SPIHT EZW STW exits in the literature in terms of simplicity and coding efficiency by successive partition the wavelet coefficients in the space frequency domain and send them using adaptive decimal to binary conversion. Spatial-orientation tree wavelet (STW) and Embedded Zero tree Wavelet (EZW) has been proposed as a method for effective and efficient embedded image coding. This method holds good for au important features like PSNR, MSE, BPP, CR, image size. SPHIT has been successfully used in many applications.
Keywords :
image coding; neural nets; wavelet transforms; BPP; CR; EZW; MSE; PSNR; SPHIT; STW; adaptive decimal-to-binary conversion; coding efficiency; compression technique; embedded image coding; embedded zero tree wavelet; image size; neural network; space frequency domain; spatial-orientation tree wavelet; training algorithm; Algorithm design and analysis; Encoding; Image coding; Image color analysis; Indexes; PSNR; Transforms; EZW; MSE; Neural Network; PSNR; SPIHT; STW;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
Type :
conf
DOI :
10.1109/CSNT.2013.36
Filename :
6524372
Link To Document :
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