Blind image restoration algorithm based on adaptive decision feedback equalizer

Jie Jiang; Bo Lv; Guangjun Zhang

doi:10.1117/12.716698

24 October 2006 Blind image restoration algorithm based on adaptive decision feedback equalizer

Jie Jiang, Bo Lv, Guangjun Zhang

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63570C (2006) https://doi.org/10.1117/12.716698
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Adaptive decision feedback equalizer (ADFE) derived from transverse equalizer uses decision output signal to form a delay line, through which parts of coefficients are added together and are returned to the output. ADFE can compensate for communication channels with severe inter-symbol interference. The blur on image can be regarded as perturbation of the pixels, so in this paper a kind of ADFE is applied to 2D image restoration. There are two adaptive filers in this method, the forward filter has more flexibility to select its coefficients and is not direct inverse of blur transfer function. As a result, noise amplify will not happen. Additionally, the support of the object is determined with threshold. The experiments show that this new algorithm is robust and effectively when existing additive noise.

Citation Download Citation

Jie Jiang, Bo Lv, and Guangjun Zhang "Blind image restoration algorithm based on adaptive decision feedback equalizer", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570C (24 October 2006); https://doi.org/10.1117/12.716698

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KEYWORDS

Image restoration

Image quality

Evolutionary algorithms

Point spread functions

Signal to noise ratio

Filtering (signal processing)

Turbulence

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