• Manjula. K. A

Abstract— Nature inspired computing algorithms is a growing domain which finds applications in computer science including image processing. This article presents a new technique of denoising images by combining median filter and bacterial foraging optimization algorithm (BFOA) which is a type of nature inspired computing algorithm. Usually the images suffer from noises which will reduce image quality and distort images and hence denoising of images play an important role in image processing. This research paper analyses the appropriateness of applying BFOA on the filtered image produced by median filter to result in a better denoised image. In this proposed method of Bacterial Foraging based Optimisation, PSNR (Peak Signal to Noise Ratio) is used as fitness function to denoise the noisy images which are initially filtered by median filter. The implemented code is tested for Gaussian noisy images and for median filter and results show the optimization capability of BFOA based method and that it improves the denoising process of median filter.

Image processing, Denoising, Bacterial foraging optimization, Median filter.

"A novel method for denoising images by applying bacterial foraging optimization technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.387-390, November-2018, Available :http://www.jetir.org/papers/JETIR1811955.pdf

"A novel method for denoising images by applying bacterial foraging optimization technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp387-390, November-2018, Available at : http://www.jetir.org/papers/JETIR1811955.pdf