Learning a mixture of deep networks for single image super-resolution

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

Volumn 10113 LNCS, Issue , 2017, Pages 145-156

  Liu, Ding ^a   Wang, Zhaowen ^b   Nasrabadi, Nasser ^c   Huang, Thomas ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b ADOBE RESEARCH   (United States)

^c West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MIXTURES; NETWORK ARCHITECTURE; OPTICAL RESOLVING POWER; REGRESSION ANALYSIS; RESTORATION;

FLEXIBLE DESIGNS; HIGH RESOLUTION IMAGE; ILL POSED PROBLEM; METHOD OF LEARNING; NONLINEAR NEURAL NETWORKS; REGRESSION MODEL; STATE OF THE ART; UNIFIED FRAMEWORK;

ARTS COMPUTING;

EID: 85016071159     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-54187-7_10     Document Type: Conference Paper

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