A new optimization approach - SFO for denoising digital images
Marimuthu Krishnaveni, P. Subashini, T T Dhivyaprabha · 2016
Computational paradigm which follows the theory of natural phenomenon is proved as an efficient approach to build versatile and adaptable systems to solve non-linear complicated problems. The widely used filter for removing noise in the digital images is median filter with different version, but low noise suppression and edge blurring are the most common demerits which are identified from it. In this paper, a newly developed metaheuristic algorithm Synergistic Fibroblast Optimization (SFO) is introduced by applying it to the median filtering technique for denoising the digital images. The work is evaluated in real time Tamil Sign Language dataset to assess the degradation of noise level and the performance is examined using standard metrics which shows that SFO based filtering technique produced promising results in both qualitative and quantitative perspectives.