engleski

A Real (4, 2) Code for Image Applications

Image communication over telephone wireline and wireless networks is becoming a standard way of communication due to very efficient compression algorithms for reducing required channel capacity. However, all compression standard techniques are strongly sensitive to channel noise and their application is suitable only for practically noiseless channels. For noisy channels it is reasonable to investigate an integrated source and channel coding method as tradeoff between image quality and ability to control errors caused by noise. In this paper a real number (4, 2) BCH code defined in the frequency domain via DFT is presented. The major contribution of this paper is a new approach to decoding of real number codes based on not only one but three syndromes which is not possible with binary codes. It is shown that real number (4, 2) code has ability of correcting up to 3 errors regardless to presence of the noise or even all i.e. four errors. Efficiency of the proposed decoding method is tested on 1-D example of AR(1) process and 2-D example of gray scale image.

image/video communications; channel coding; real number codes

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