Blotchy noise is one of the most common and visually annoying noises noticed in digitized motion picture films. This work investigates a three-stage blotchy noise reduction scheme combining efforts of temporal median filtering, ICA unsupervised learning and deflation after motion/compensation estimation. Implementation of each module of the scheme is discussed; finally performance of the scheme is tested and compared with other methods over real short sequences and results are discussed.
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