Improved Approach for Image Denoising using Swarm Intelligent Optimization Algorithm

Main Article Content

Anita Rani, Er.Varinderjit Kaur, Er. Shivali Puri, Dr.Naveen Dhillon

Abstract

Digital image processing is widely preferred as it is comprised of different techniques and paradigms that can be implemented to process the image. The digital image processing can be helpful in preventing the quality of the image for being degrade. Image de-noising is also a part of image processing which is employed to remove noise from the image occurred at the time of acquisition. Several techniques have been introduced till now utilizes to deduct noise. These techniques have been suffering from various issues such as quality degradation, errors. Considering, a novel approach has been proposed in this paper which exploits MRPSO optimization algorithm to acquire optimum solution. This technique performs continuously until final Best Suitable Threshold Value is not obtained for removal of noise from image. The simulation analysis is performed using the proposed technique in terms of different performance parameters such as MSE, PSNR and BER. As per the comparative analysis, it has been concluded that proposed technique outperforms the traditional technique and produced efficient results.

Article Details

How to Cite
, A. R. E. K. E. S. P. D. D. “Improved Approach for Image Denoising Using Swarm Intelligent Optimization Algorithm”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 5, May 2018, pp. 243-8, doi:10.17762/ijritcc.v6i5.1611.
Section
Articles