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Hussain, A, Al-Jumeily, D, Radi, N and Lisboa, P (2014) Hybrid Neural Network Predictive-Wavelet Image Compression System. NEUROCOMPUTING, 151. ISSN 0925-2312
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NEUCOM-D-13-01780R1 (1).pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
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 |
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| 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 & Mathematics Applied Mathematics (merged with Comp Sci 10 Aug 20) |
| Publisher: | ELSEVIER SCIENCE BV |
| Related URLs: | |
| Date Deposited: | 02 Nov 2015 13:59 |
| Last Modified: | 04 Sep 2021 13:50 |
| DOI or ID number: | 10.1016/j.neucom.2014.02.078 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/2276 |
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