Real-time image processing based on robust linear combinations of order statistics

In this paper we present the capability and real-time processing features of a new type of L-filter for the removal of impulsive and multiplicative noise in real-time image processing applications. The proposed filter uses the robust RM-estimator in the filtering scheme of L-filter according with the RM-KNN filtering algorithms. Extensive simulation results in known reference images, and SAR images have demonstrated that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation. The criteria used to compare the performance or various filters were the PSNR, MAE, and processing time. The real-time implementation of proposed algorithm was realized on the DSP TMS320C6701. The processing time of proposed filter includes the time of data acquisition, processing and store data. We found that the processing time values of proposed filter depends of the image to process and do not practically vary for different complex noise level; these values depend also of the calculation of influence functions, parameters of the proposed filter, and different distribution functions used to calculate the coefficients of the new type of L-filter.