Multiresolution-based texture adaptive motion detection for de-interlacing

Motion-adaptive de-interlacing algorithm selects from inter-field and intra-field interpolations according to motion. Correct determination of motion information is essential for this purpose. Fine textures, having high local pixel variation, tend to cause false detection of motion. This paper proposed a texture detection mechanism utilizing multiresolution technique to improve the correctness of detection. A recursive 2-field algorithm is also proposed to reduce the memory cost in 4-field method. This algorithm provides better perceptual visual quality than other motion adaptive de-interlacing as shown by the experimental results