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Hybrid Neural Network Predictive-Wavelet Image Compression System

Hussain, A and Al-Jumeily, D and Radi, N and Lisboa, P (2014) Hybrid Neural Network Predictive-Wavelet Image Compression System. NEUROCOMPUTING, 151. ISSN 0925-2312

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Abstract

This paper considers a novel image compression technique called hybrid predictive wavelet coding. The
new proposed technique combines the properties of predictive coding and discrete wavelet coding. In
contrast to JPEG2000, the image data values are pre-processed using predictive coding to remove interpixel
redundancy. The error values, which are the difference between the original and the predicted
values, are discrete wavelet coding transformed. In this case, a nonlinear neural network predictor is
utilised in the predictive coding system. The simulation results indicated that the proposed technique
can achieve good compressed images at high decomposition levels in comparison to JPEG2000.

Item Type: Article
Uncontrolled Keywords: 08 Information And Computing Sciences, 09 Engineering, 17 Psychology And Cognitive Sciences
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science
Applied Mathematics
Publisher: ELSEVIER SCIENCE BV
Related URLs:
Date Deposited: 02 Nov 2015 13:59
Last Modified: 20 Nov 2016 00:50
DOI or Identification number: 10.1016/j.neucom.2014.02.078
URI: http://researchonline.ljmu.ac.uk/id/eprint/2276

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