VIDEO DEINTERLACING USING ADAPTIVE FUZZY FILTERS
A. SANZ, F. FERNÁNDEZ, J. Gutierrez, Gracián Triviño, Ángel Sánchez, Juan Carlos Crespo, A. MAZADIEGO · 2004
This paper presents a new fuzzy motion adaptive video deinterlacer that is adaptive at pixel and frame level. It is mainly based on a decomposition of the corresponding fuzzy motion detector into two main modules: a linear spatio-temporal low-pass filter described by two separable 1D FIR filters and two fuzzy modules described by saturation functions. Moreover, the involved saturation parameters are on-line adjusted taking into account the motion quantity of each frame. Experimental results with several video benchmarks demonstrate the robustness and high-quality reconstruction of the presented algorithm. 1.