期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 2)
出版社：Ayushmaan Technologies
摘要：The emergence of artificial neural networks in image processing has led to improvements in image compression. In this paper an adaptive method for image compression based on complexity level of the image and modification on levenberg-marquardt algorithm for MLP neural network learning is presented. In adaptive method different back propagation artificial neural networks are used as compressor and de-compressor and it is achieved by dividing the image into blocks, computing the complexity of each block and then selecting one network for each block according to its complexity value. The proposed algorithm has good convergence. This method reduces the amount of oscillation in learning procedure. The results demonstrate superiority of this method comparing with existing one.
