Filter design for adaptive frequency-domain Bayer demosaicking

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2705-2708

  Dubois, E ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Adaptive signal processing; Color; Demultiplexing; Least squares methods; Multidimensional filters

Indexed keywords

ADAPTIVE FREQUENCY; ADAPTIVE SIGNAL PROCESSING; DEMOSAICKING; FILTER DESIGNS; FREQUENCY-DOMAIN DESIGN; LEAST SQUARES DESIGN; LEAST SQUARES METHODS; LOWER COMPLEXITY; MULTIDIMENSIONAL FILTERS; RECONSTRUCTION ERROR;

ALGORITHMS; DEMULTIPLEXING; DESIGN; FILTER BANKS; IMAGE PROCESSING; IMAGING SYSTEMS; SIGNAL PROCESSING;

FREQUENCY DOMAIN ANALYSIS;

EID: 34548237961     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.313073     Document Type: Conference Paper

References (4)

1. B. K. Gunturk, J. Glotzbach, Y. Altunbasak, R. W. Schafer, and R. M. Mersereau, "Demosaicking: Color filter array interpolation," IEEE Signal Process. Mag., vol. 22, no. 1, pp. 44-54, Jan. 2005.
2. B. K. Gunturk, Y. Altunbasak, and R. M. Mersereau, "Color plane interpolation using alternating projections," IEEE Trans. Image Process., vol. 11, no. 9, pp. 997-1013, Sept. 2002.
3. D. Alleysson, S. Süsstrunk, and J. Hérault, "Linear demosaicing inspired by the human visual system," IEEE Trans. Image Process., vol. 14, no. 4, pp. 439-449, Apr. 2005.
4. E. Dubois, "Frequency-domain methods for demosaicking of Bayer-sampled color images," IEEE Signal Process. Lett., vol. 12, pp. 847-850, Dec. 2005.