Progressive scan conversion based on edge-dependent interpolation using fuzzy logic

De-interlacing algorithms realize the interlaced to progressive conversion required in many applications. The most cost efficient are intra-field techniques, which interpolate pixels of the same field. Some of these methods use the upper and lower line pixels. Among them, the ELA algorithm is widely employed since it reconstructs the edges of the de-interlaced image with more accuracy eliminating nondesired problems such as blurring and staircase effects. However, the ELA algorithm does not perform well when there are non clear edges or in presence of noise. In order to reduce these drawbacks, a new algorithm is presented in this paper. It is based on a simple fuzzy system which models heuristic rules to improve the ELA algorithm. Two enhancements of this new algorithm are also presented in this paper. Simulation results of video sequences prove the advantageous of the new algorithms.