4 May 2009 Three-dimensional fuzzy-directional processing to impulse video color denoising in real time environment
Author Affiliations +
It is presented a robust three dimensional scheme using fuzzy and directional techniques in denoising video color images contaminated by impulsive random noise. This scheme estimates a noise and movement level in local area, detecting edges and fine details in an image video sequence. The proposed approach cares the chromaticity properties in multidimensional and multichannel images. The algorithm was specially designed to reduce computational charge, and its performance is quantified using objective criteria, such as Pick Signal Noise Relation, Mean Absolute Error and Normalized Color Difference, as well visual subjective views. Novel filter shows superiority rendering against other well known algorithms found in the literature. Real-time analysis is realized on Digital Signal Processor to outperform processing capability. The DSP was designed by Texas Instruments for multichannel processing in the multitask process, and permits to improve the performance of several tasks, and at the same time enhancing processing time and reducing computational charge in such a dedicated hardware.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alberto J. Rosales-Silva, Alberto J. Rosales-Silva, Volodymyr Ponomaryov, Volodymyr Ponomaryov, Francisco Gallegos-Funes, Francisco Gallegos-Funes, "Three-dimensional fuzzy-directional processing to impulse video color denoising in real time environment", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510M (4 May 2009); doi: 10.1117/12.814982; https://doi.org/10.1117/12.814982

Back to Top