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Color Image Compression with Modified Forward-Only Counterpropagation Neural Network: Improvement of the Quality using Different Distance Measures
Bhubaneswar, India December 18-December 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIT.2006.379th International Conference on Infor ...
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Deepak Mishra, Indian Institute of Technology Kanpur, India
N. Subhash Chandra Bose, Indian Institute of Technology Kanpur, India
Arvind Tolambiya, Indian Institute of Technology Kanpur, India
Ashutosh Dwivedi, Indian Institute of Technology Kanpur, India
Prabhanjan Kandula, Indian Institute of Technology Kanpur, India
Ashiwani Kumar, Indian Institute of Technology Kanpur, India
Prem K. Kalra, Indian Institute of Technology Kanpur, India
A modified forward-only counterpropagation neural network (MFO-CPN) for color image compression is proposed. It uses several higher-order distance measures for calculating winning node. It also incorporates nonlinear adjustment of learning rates in both the layers. Results with these distance functions are compared. Proposed modifications leads to improvement in the image quality and faster convergence of network.
Citation:
Deepak Mishra, N. Subhash Chandra Bose, Arvind Tolambiya, Ashutosh Dwivedi, Prabhanjan Kandula, Ashiwani Kumar, Prem K. Kalra, "Color Image Compression with Modified Forward-Only Counterpropagation Neural Network: Improvement of the Quality using Different Distance Measures," icit, pp.139-140, 9th International Conference on Information Technology (ICIT'06), 2006
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