Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Review Article, J Comput Eng Inf Technol Vol: 4 Issue: 2

Modified Image Compression by Combined Neural Network and Arithmetic Coding Processing

Alaa MHH1* and Siddeq MM2
1University of Kirkuk – Iraq
2Technical College –Kirkuk – Iraq
Corresponding author : Alaa Mustafa Hassan Hassan
University of Kirkuk – Iraq
Tel: +964 770 813 2313
E-mail: [email protected], [email protected]
Received: May 21, 2015 Accepted: June 08, 2015 Published: June 15, 2015
Citation: Alaa MHH, Siddeq MM (2015) Modified Image Compression by Combined Neural Network and Arithmetic Coding Processing. J Comput Eng Inf Technol 4:2. doi:10.4172/2324-9307.1000127

Abstract

Modified Image Compression by Combined Neural Network and Arithmetic Coding Processing

This article emphases the skeleton for image compression-decompression by using (Perceptron Neural Network and Arithmetic Coding). At first compression of each three-pixel into single value, this value is called Compression value. In our work the neural network is not needed for weight training at compression part, instead, the weights used in our work are one dimensional array containing floating point values. The total of weights values equal one. In the decompression part, the weights become an input to neural networks. Later, neural networks update the pixels according to error between Compression value and desired output to become approximately original three-Bytes. The second stage is Arithmetic coding algorithm uses to convert vector of compression values in to single floating point number. Our approach tested with three types of images and different size; also in this article the performance of the algorithm is computed.

Keywords: Compression value; Perceptron neural network; Arithmetic coding; Image compression

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