Image Denoising with 2d Fir Filter by Using Differential Evolution Algorithm

The digital image processing deals with development of digital system that performs operations on a digital image and there manipulation through a digital computer. It’s a subfield of systems and signals but focusing particularly on images. DIP focuses on development of a computer system which is capable to perform processing on an image. This system involves input of digital image, its processing through algorithm and a processed image as an output. Image noise is random variation of color or brightness information in images, and is usually an aspect of electronic noise. Electronic noise can be produced by the sensor, circuitry of a scanner , digital camera or dust particles. Filters are used to remove noise from digital images while keeping the details of image preserved is a necessary part of image processing to enhance the quality of the image many filters are used for the removal of noise. 2D FIR filter can be used for denoising the noisy images. Emphasis is made on denoising of Gaussian noised images through 2D FIR in the paper. At the first stage, we present a 2D finite impulse response filter design using differential evolution algorithm. At the second stage, to demonstrate the robustness of the filter algorithm it was implemented for the Gaussian noise for the noisy images. The proposed approach will show improvements in filter design.