Three-dimensional color image processing procedures using DSP

Processing of the vector image information is seemed very important because multichannel sensors used in different applications. We introduce novel algorithms to process color images that are based on order statistics and vectorial processing techniques: Video Adaptive Vector Directional (VAVDF) and the Vector Median M-type K-Nearest Neighbour (VMMKNN) Filters presented in this paper. It has been demonstrated that novel algorithms suppress effectively an impulsive noise in comparison with different other methods in 3D video color sequences. Simulation results have been obtained using video sequences "Miss America" and "Flowers", which were corrupted by noise. The filters: KNNF, VGVDF, VMMKNN, and, finally the proposed VAVDATM have been investigated. The criteria PSNR, MAE and NCD demonstrate that the VAVDATM filter has shown the best performances in each a criterion when intensity of noise is more that 7-10%. An attempt to realize the real-time processing on the DSP is presented for median type algorithms techniques.