Subsampling Image Compression using Al-Alaoui Backpropagation Algorithm

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.