DIRECTIONAL MOTION ADAPTIVE FUZZY METHOD FOR VIDEO DE-INTERLACING

摘要

The procedure employed to make de-interlacing of video sequences has great influence in the quality of the obtained image. Reaching good results is not possible if dynamical characteristics of the processed image are not considered. On the other hand, the gradual adjust of the de-interlacing procedure as a function of the motion detected in each pixel of the image is a powerful method that is able to be realised by means of fuzzy inference. Detection of motion direction in each pixel of a frame becomes important in order to choose inclination in the spatial interpolation operations. In this paper we start from a fuzzy algorithm proposed by Van de Ville et al. to succeed in a family of more efficient algorithms under the point of view of execution speed and quality. These algorithms are based on convolution techniques (in substitution of the sum-prod norms) that are able to create a good emphasising distribution on the input variables.