9th International Conference on Information Technology (ICIT'06) Color Image Compression with Modified Forward-Only Counterpropagation Neural Network: Improvement of the Quality using Different Distance Measures Bhubaneswar, India December 18-December 21 ISBN: 0-7695-2635-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIT.2006.37
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||