Performance of a mve algorithm for compound eye image reconstruction using lens diversity

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn II, Issue , 2005, Pages

  Wood, Sally L ^a   Smithson, Bannie J ^a   Rajan, Dinesh ^b   Christensen, Marc P ^b  

^a SANTA CLARA UNIVERSITY   (United States)

^b SOUTHERN METHODIST UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; PATTERN RECOGNITION; PROBLEM SOLVING; VIDEO CAMERAS; VIDEO SIGNAL PROCESSING;

IMAGE ACQUISITION; IMAGING CHARACTERISTICS; RECONSTRUCTION ALGORITHMS;

IMAGE RECONSTRUCTION;

EID: 33646811869     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415474     Document Type: Conference Paper

References (8)

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3. S. Chaudhuri, ed. Super-Resolution Imaging, Kluwer Academic Publishers, Boston MA, 2001.
4. M. Christensen, M. Haney, D. Rajan, S. Wood, S. Douglas,"PANOPTES: A thin agile multi-resolution imaging sensor," invited GOMACTech 2005.
5. D. Daly, Microlens Arrays, Taylor and Francis, N.Y.. 2001.
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7. J. Tanida, T. Kumagai, K. Yamada, S. Miyatake, K. Ishida, T. Morimoto, N. Kondou, D. Miyazaki, Y. Ichioka,"Thin Observation Module by Bound Optics (TOMBO): Concept and experimental verification," Appl. Optics-IP, vol. 40, no. 11, p. 1806, Apr. 2001.
8. S. Wood, D. Rajan, M. Christensen, S. Douglas, B. Smithson, "Resolution Improvement for Compound Eye Images through Lens Diversity," Proc. 11th DSP Workshop, Taos, NM, August 1-4, 2004.