Self-learning approach to color demosaicking via support vector regression

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 2765-2768

  He, Fang Lin ^a,b   Wang, Yu Chiang Frank ^b   Hua, Kai Lung ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b RESEARCH CENTER FOR INFORMATION TECHNOLOGY INNOVATION   (Taiwan)

Author keywords

Color demosaicking; color filter array; self learning; support vector regression

Indexed keywords

COLOR DEMOSAICKING; COLOR FILTER ARRAYS; COLOR SAMPLES; COLOR VALUES; DEMOSAICKING; FULL COLOR IMAGES; LEARNING MODELS; OBJECTIVE IMAGE QUALITY; PRIMARY COLORS; RESTORATION PROCESS; SELF-LEARNING; SINGLE SENSOR; STATE-OF-THE-ART TECHNIQUES; SUPPORT VECTOR REGRESSION (SVR); TRAINING DATA;

COLOR; PIXELS; REGRESSION ANALYSIS;

COLOR IMAGE PROCESSING;

EID: 84875848204     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467472     Document Type: Conference Paper

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