Digital Color Image De-Noising using Particle Swarm Optimization

Visual information, transmitted in the form of digital images, has become a major method of communication for the 21st century. Digital Color Image de-noising is attracting more and more researchers to satisfy the user’s demand. It is emerging as one of the simple and most appealing area among all the digital image processing techniques and is defined as the process of manipulating an image so as to highlight certain feature of interest. The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. During last few decades, a number of methods have been proposed by researchers for de-noising of digital color images. However, de-noising of image quality is still a major concern and daunting to meet the expectations of users. In this paper, we carry out survey on various methods proposed by researchers and propose a de-noising method of digital color images using Particle Swarm Optimization (PSO). Experimental results obtained in this research show that PSO is an improvised method for de-noising of color images.