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Subsampling Image Compression using Al-Alaoui Backpropagation Algorithm

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2 Author(s)
Ferzli, R. ; Arizona State Univ., Tempe ; Al-Alaoui, M.A.

With the advances in wireless communications and embedded systems, efficient storage and transmission of images and video over limited bandwidth is required. Novel image compression techniques need to be investigated; an artificial neural networks subsampling image compression method is presented using the Al - Alaoui backpropagation algorithm is used [1-5]. The Al-Alaoui algorithm is a weighted mean-square-error (MSE) approach to pattern recognition. It employs cloning of the erroneously classified samples to increase the population of their corresponding classes. Using the Al-Alaoui backpropagation, obtained simulation results show a faster convergence rate, zero misclassified pixels and an improvement in PSNR around 2 dB.

Published in:

Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on

Date of Conference:

11-14 Dec. 2007