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Digital image processing techniques have become inevitable in image related research areas and the major challenge is in collecting good quality images. Usually images suffer from noises and this will affect the accuracy of research findings. Because of this reason, noise removal is a crucial step in image processing tasks. Biologically-inspired soft-computing algorithms, originated by imitating evolution and foraging techniques of insects and animals in nature, have attracted a lot of research interests . This study presents development of a noise reduction technique based on a biologically inspired algorithm – Artificial Bee Colony Algorithm(ABC) and analyses its optimization capabilities. This study throws light towards the potential of ABC algorithm to work as an effective smoothening filter for images.

international journal of recent technology and engineering

2555 Published By: Blue Eyes Intelligence Engineering &amp; Sciences Publication Retrieval Number: E6469018520/2020©BEIESP DOI:10.35940/ijrte.E6469.018520 Journal Website: www.ijrte.org Optimized Noise Reduction in Images Applying Artificial Bee Colony Based Technique