• Shaikh Raashid Mehmood Hasan
• Prof. Dr. B. G. Hogade

Image denoising is a classical and fundamental problem in image processing community. An important challenge in image denoising is to preserve image details while removing noise. Recently, two dimensional (2D) adaptive filter, which can self-adjust the filter coefficients by using an optimization algorithm driven by an error function, has attracted much attention by researchers and practitioners, because 2D adaptive filtering can be employed in many image processing applications, such as image denoising, enhancement and deconvolution. In this project,a new design approach will be employed using two dimensional finite impulse response digital filter using the Ant Colony Optimization for image denoising. The Ant colony optimization algorithm is effective and robust, which helps to yield better denoise performance. Results will be compared with traditional approaches and computer simulation will demonstrate that the proposed method is superior to the conventional methods.

Wavelet Transform, Ant Colony Optimization (ACO), Denoising

"Digital Image Denoising Using Wavelet Transform and Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.14-21, June 2019, Available :http://www.jetir.org/papers/JETIR1906Q03.pdf

"Digital Image Denoising Using Wavelet Transform and Ant Colony Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp14-21, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Q03.pdf