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.
|Number of pages||6|
|Journal||IEEE International Conference on Neural Networks - Conference Proceedings|
|Publication status||Published - 1 Dec 2004|
|Event||2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary|
Duration: 25 Jul 2004 → 29 Jul 2004
ASJC Scopus subject areas