A high-quality video denoising algorithm based on reliable motion estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6313 LNCS, Issue PART 3, 2010, Pages 706-719

  Liu, Ce ^a   Freeman, William T ^a,b  

^a MICROSOFT RESEARCH   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

approximate K nearest neighbors; non local means; optical flow; structured noise; Video denoising

Indexed keywords

COMPUTER GRAPHICS; COMPUTER VISION; MOTION COMPENSATION; MOTION ESTIMATION; MULTIMEDIA SYSTEMS; NEAREST NEIGHBOR SEARCH; OPTICAL FLOWS; TEXT PROCESSING; VIDEO SIGNAL PROCESSING;

K-NEAREST NEIGHBORS; NOISE LEVEL ESTIMATION; NON LOCAL MEANS; NON LOCAL MEANS (NLM); SPARSE REPRESENTATIONS OF IMAGES; SPATIAL REGULARIZATIONS; STRUCTURED NOISE; VIDEO DE-NOISING;

IMAGE DENOISING;

EID: 78149314636     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15558-1_51     Document Type: Conference Paper

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