作者: Arnold P. Skoog , Jeffrey Kempf , Clifford D. Fairbanks
DOI:
关键词: Artificial intelligence 、 Value noise 、 Mathematics 、 Noise reduction 、 Computer vision 、 Noise measurement 、 Gradient noise 、 Median filter 、 Gaussian noise 、 Image noise 、 Salt-and-pepper noise
摘要: A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values edge directions), this is able to perform tasks of film-mode detection, motion-adaptive conversion, video reduction. Adaptive incorporated in process where temporal performed on still parts image, thus preserving high detail spatial information, data-adaptive moving image. low-pass filter used flat fields smooth out Gaussian direction-dependent median presence impulsive or an edge. Therefore, selected optimized for particular pixel being processed maintain crisp edges.