Work place: Department of Electrical Engineering, Saghez branch, Islamic Azad university, Saghez, Iran
Research Interests: Image Processing, Image Manipulation, Image Compression, Computer Vision
Omid Nali, was born in 1986 in Sagez, Iran. He received his B.SC. Degree in Electrical Engineering from the Lorestan University, Iran, in 2009 and he received his M.SC. In the Azad Islamic university of Tabriz, Iran in 2013. His research interests include digital image processing, computer vision, and mechateronic.
By Omid Nali
DOI: https://doi.org/10.5815/ijigsp.2014.05.04, Pub. Date: 8 Apr. 2014
This paper presents a high speed image compression based on the combination of modified self-organizing maps and Back-Propagation neural networks. In the self-organizing model number of the neurons are in a flat topology. These neurons in interaction formed self-organizing neural network. The task this neural network is estimated a distribute function. Finally network disperses cells in the input space until estimated probability density of inputs. Distribute of neurons in input space probability is an information compression. So in the proposed method first by Modified Self-Organizing Feature Maps (MSOFM) we achieved distributed function of the input image by a weight vector then in the next stage these information compressed are applied to back-propagation algorithm until image again compressed. The performance of the proposed method has been evaluated using some standard images. The results demonstrate that the proposed method has High-speed over other existing works.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals