New learning based super-resolution: Use of DWT and IGMRF prior

IEEE Transactions on Image Processing

Volumn 19, Issue 5, 2010, Pages 1201-1213

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

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

Author keywords

Discrete wavelet transform (DWT); Gradient descent; Inhomogeneous Gaussian Markov random field (IGMRF); Learning; Regularization; Super resolution

Indexed keywords

ALIASED; ALIASING; COLOR IMAGES; GAUSSIAN MARKOV RANDOM FIELD; GRADIENT DESCENT; GRAY SCALE; HIGH FREQUENCY HF; HIGH RESOLUTION; HIGH SPATIAL RESOLUTION IMAGES; ILL POSED PROBLEM; INTERPOLATION TECHNIQUES; LEARNING-BASED APPROACH; LOW RESOLUTION IMAGES; MATRIX; MAXIMUM A POSTERIORI ESTIMATION; MODEL PARAMETERS; NOISY VERSIONS; REGULARIZATION FRAMEWORK; REMOTE SURVEILLANCE; SPATIAL RESOLUTION; SUPER RESOLUTION; TEST IMAGES; TRANSMISSION BANDWIDTH;

ELECTRIC REACTORS; GAUSSIAN NOISE (ELECTRONIC); IMAGE RESOLUTION; SECURITY SYSTEMS;

DISCRETE WAVELET TRANSFORMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 77951283833     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2041408     Document Type: Article

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