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Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image

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Author(s): Bakwad K | Pattnaik S | Sohi B | Devi S | Panigrahi B | Gollapudi Sastry

Journal: IETE Journal of Research
ISSN 0377-2063

Volume: 55;
Issue: 4;
Start page: 173;
Date: 2009;
Original page

Keywords: Bacterial foraging optimization technique | Adaptive median filter | Peak signal to noise ratio | Mean absolute error | Impulse noise.

ABSTRACT
This paper proposes a new approach to enhance peak signal to noise ratio of highly corrupted image affected by impulse noise. The proposed technique is implemented using an adaptive median filter and the bacterial foraging optimization (BFO) technique. The adaptive median filter is used to identify pixels affected by noise and replace them with median value to keep the information uncorrupted. The BFO technique minimizes errors between adaptive median filter output image and noisy image to maintain an error percentage of 0.0001. It has been observed that results of the proposed method are superior to conventional methods in terms of perceptual image quality as well as clarity and smoothness in edge regions of the resultant image. This technique can remove the salt-and-pepper noise of highly corrupted images with a noise as high as 90%.
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