Detection and Removal of Global and Local Noise in Realtime Video Streams (2006)
Despite the steady advancement of digital camera technology, noise is an ever present problem with image processing. Low light levels, fast camera motion, and even sources of electromagnetic fields such as electric motors can degrade image quality and increase noise levels. Many approaches to remove this noise from images concentrate on a single image, although more data relevant to noise removal can be obtained from video streams. This paper discusses the advantages of using multiple images over an individual image when removing both local noise, such as salt and pepper noise, and global noise, such as motion blur.
CitationClark A, Green R (2006). Detection and Removal of Global and Local Noise in Realtime Video Streams. Great Barrier Island, New Zealand: 21st International Conference Image and Vision Computing New Zealand (IVCNZ 2006). 27/11/2006-29/11/2006.
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Keywordsimage noise; motion blur; salt and pepper; video streams
ANZSRC Fields of Research46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460309 - Video processing
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