Learning a convolutional neural network for non-uniform motion blur removal

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 769-777

  Sun, Jian ^a   Cao, Wenfei ^a   Xu, Zongben ^a   Ponce, Jean ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTER VISION; CONVOLUTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MARKOV PROCESSES; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS;

BLURRY IMAGES; CANDIDATE SETS; CONVOLUTIONAL NEURAL NETWORK; EXPERIMENTAL EVALUATION; IMAGE ROTATION; MARKOV RANDOM FIELD MODEL; NON-UNIFORM MOTIONS; PROBABILISTIC DISTRIBUTION;

PATTERN RECOGNITION;

EID: 84959239596     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298677     Document Type: Conference Paper

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