Single frame super-resolution: A new learning based approach and use of IGMRF Prior

Proceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008

Volumn , Issue , 2008, Pages 636-643

  Gajjar, Prakash P ^a   Joshi, Manjunath V ^a  

^a DHIRUBHAI AMBANI INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ALIASED; ALIASING; AUTO-REGRESSIVE; COLOR IMAGES; GAUSSIAN MARKOV RANDOM FIELDS; GRADIENT DESCENTS; GRAY-SCALE; HIGH FREQUENCIES; HIGH RESOLUTION IMAGES; HIGH RESOLUTIONS; HIGH-SPATIAL RESOLUTION IMAGES; ILL-POSED PROBLEMS; LEARNING TECHNIQUES; LEARNING-BASED APPROACHES; LOW RESOLUTION IMAGES; MATRIXES; MODEL PARAMETERS; MOTION-BASED METHODS; NOISY VERSIONS; REGULARIZATION FRAMEWORKS; SPATIAL RESOLUTIONS; SUPER RESOLUTIONS; TEST IMAGES; TRAINING SETS; TRANSMISSION BANDWIDTHS;

CAMERAS; COMPUTER VISION; EDUCATION; HIDDEN MARKOV MODELS; IMAGE RESOLUTION; IMAGING SYSTEMS; LEARNING ALGORITHMS; OPTICAL RESOLVING POWER; SENSOR NETWORKS; TESTING;

MEDICAL IMAGING;

EID: 65249105354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICVGIP.2008.21     Document Type: Conference Paper

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