Three-dimensional fuzzy filter in color video sequence denoising implemented on DSP
Volodymyr I. Ponomaryov, Hector Montenegro, Ricardo Peralta-Fabi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In this paper, we present a Fuzzy 3D filter for color video sequences to suppress impulsive noise. The difference between the designed algorithm in comparison with other state- of-the-art algorithms consists of employing the three RGB bands of the video sequence data and analyzing the fuzzy gradients values obtained in eight directions, finally processing two temporal neighboring frames together. The simulation results have confirmed sufficiently better performance of the novel 3D filter both in terms of objective metrics (PSNR, MAE, NCD, SSIM) as well as in subjective perception via human vision in the color sequences. An efficiency analysis of the designed and other promising filters have been performed on the DSP TMS320DM642 by Texas InstrumentsTM through MATLAB’s SimulinkTM module, showing that the 3D filter can be used in real-time processing applications.