Perceptual assessment of demosaicing algorithm performance

Proceedings of the IEEE

Volumn 90, Issue 1, 2002, Pages 123-132

  Longère, Philippe ^a,b   Zhang, Xuemei ^c   Delahunt, Peter B ^a,d,f   Brainard, David H ^a,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b M Pixel   (France)

^c AGILENT TECHNOLOGIES   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Demosaicing; Digital camera; Image quality

Indexed keywords

ALGORITHMS; CAMERAS; COLOR; DIGITAL DEVICES; IMAGE QUALITY; INTERPOLATION; SENSORS;

COLOR FILTER ARRAY; DEMOSAICING; DEMOSAICING ALGORITHMS; DIGITAL CAMERA;

IMAGE PROCESSING;

EID: 0041632947     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/5.982410     Document Type: Article

References (20)

1. B. E. Bayer and Eastman Kodak Company, "Color Imaging Array," US Patent 3 971065, 1975.
2. P. Longére and D. H. Brainard, "Simulation of digital camera images from hyperspectral input," in Vision Models and Applications to Image and Video Processing, C. J. van den Branden Lambrecht, Ed. Norwell, MA: Kluwer, 2001.
3. D. R. Cok and Eastman Kodak Company, "Signal processing method and apparatus for producing interpolated chrominance values in a sampled color image signal," US Patent 4 642 678, 1986.
4. R. Kimmel, "Demosaicing: Image reconstruction from color CCD samples," IEEE Trans. Image Processing, vol. 8, pp. 1221-1228, Sept. 1999.
5. B. Tao, I. Tastl, T. Cooper, M. Blasgen, and E. Edwards, "Demosaicing using human visual properties and wavelet interpolation filtering," in Proc. IS&T/SID Seventh Color Imaging Conf., 1999, pp. 252-256.
6. W. T. Freeman and Polaroid Corporation, "Method and apparatus for reconstructing missing color samples," US Patent 4 774 565, 1988.
7. M. A. Wober, R. Soini, and Polaroid Corporation, "Method and apparatus for recovering image data through the use of a color test pattern," US Patent 5475769, 1995.
8. D. H. Brainard. (1995) An ideal observer for appearance: Reconstruction from samples. Dept. Psychology, Univ. California, Santa Barbara, CA. [Online]. Available: http://color.psych.upenn.edu/brainard/papers/bayessampling.pdf
9. D. H. Brainard and D. Sherman, "Reconstructing image from trichromatic samples: from basic research to practical applications," in Proc. IS&T/SID 1995 Color Imaging Conf., 1995.
10. G. Buchsbaum and A. Gottschalk, "Trichromacy, opponent colors coding and optimum color information transmission in the retina," Proc. R. Soc. London, vol. 220, no. 1248, pp. 89-113, 1983.
11. D. L. Ruderman, T. W. Cronin, and C. C. Chiao, "Statistics of cone responses to natural images: implications for visual coding," J. Opt. Soc. Amer. A, vol. 15, no. 8, pp. 2036-2045, 1998.
12. B. A. Wandell, Foundations of Vision. Sunderland, MA: Sinauer, 1995.
13. D. H. Brainard, "Bayesian method for reconstructing color images from trichromatic samples," in Proc. IS&T 47th Annual Meeting, Rochester, NY, 1994, pp. 375-380.
14. P. L. Vora, J. E. Farell, J. D. Tietz, and D. H. Brainard, "Image capture: Simulation of sensor responses from hyperspectral images," IEEE Trans. Image Processing, vol. 10, pp. 307-316, Feb. 2001.
15. Ishihara's Design Charts for Color Deficiency, Ishihara & Co. Ltd., Tokyo, Japan.
16. V. Kayargadde and J.-B. Martens, "Perceptual characterization of images degraded by blur and noise: model," J. Opt. Soc. Amer. A, vol. 13, no. 6, pp. 1178-1188, 1996.
17. S. Bouzit and L. MacDonald, "Color difference metrics and image sharpness," in Proc. IS&T/SID Eighth Color Imaging Conf., 2000, pp. 261-267.
18. G. M. Johnson and M. D. Fairchild, "Sharpness rules," in Proc. IS&T/SID Eighth Color Imaging Conf., 2000, pp. 24-30.
19. W. K. Pratt, Digital Image Processing. New York: Wiley, 1978.
20. X. Zhang and B. A. Wandelt, "Color image fidelity metrics evaluated using image distortion maps," Signal Processing, vol. 70, no. 3, pp. 201-214, 1998.