Simulation of Digital Camera Images from Hyperspectral Input
暂无分享,去创建一个
[1] L. Maloney. Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[2] D. Ruderman,et al. Statistics of cone responses to natural images: implications for visual coding , 1998 .
[3] Michael H. Brill,et al. Color appearance models , 1998 .
[4] Gerald C. Holst,et al. Sampling, Aliasing, and Data Fidelity for Electronic Imaging Systems, Communications, and Data Acquisition , 1998 .
[5] Berthold K. P. Horn. Exact reproduction of colored images , 1983, Comput. Vis. Graph. Image Process..
[6] Laurence T. Maloney,et al. Color constancy and color perception: the linear-models framework , 1993 .
[7] J. Parkkinen,et al. Characteristic spectra of Munsell colors , 1989 .
[8] Glenn Healey,et al. Radiometric CCD camera calibration and noise estimation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Eero P. Simoncelli. Bayesian Denoising of Visual Images in the Wavelet Domain , 1999 .
[10] Ts Troscianko. Hyper-spectral camera system: acquisition and analysis , 1995 .
[11] T Troscianko,et al. Color and luminance information in natural scenes. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.
[12] Brian A. Wandell,et al. A spatial extension of CIELAB for digital color‐image reproduction , 1997 .
[13] Donald Williams,et al. Image capture simulation using an accurate and realistic lens model , 1999, Electronic Imaging.
[14] J. Cohen. Dependency of the spectral reflectance curves of the Munsell color chips , 1964 .
[15] L. Maloney,et al. Color constancy: a method for recovering surface spectral reflectance. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[16] I. G. Priest. THE OPTICAL SOCIETY OF AMERICA. , 1922, Science.
[17] K. S. Gibson,et al. Tristimulus Specification of the Munsell Book of Color from Spectrophotometric Measurements , 1943 .
[18] B. Wandell. Foundations of vision , 1995 .
[19] G. Buchsbaum. A spatial processor model for object colour perception , 1980 .
[20] M. Webster,et al. Adaptation and the color statistics of natural images , 1997, Vision Research.
[21] Graham D. Finlayson,et al. Color by Correlation , 1997, CIC.
[22] L. Maloney. Physics-based approaches to modeling surface color perception , 1999 .
[23] David H. Brainard,et al. Reconstructing Images from Trichromatic Samples: From Basic Research to Practical Applications , 1995, CIC.
[24] D H Brainard,et al. Bayesian color constancy. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[25] Rudolf Kingslake,et al. Lens Design Fundamentals , 1978 .
[26] Brian A. Wandell,et al. Comparative analysis of color architectures for image sensors , 1999, Electronic Imaging.
[27] David H. Brainard,et al. Calibration of a computer controlled color monitor , 1989 .
[28] D. B. Judd,et al. Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature , 1964 .
[29] Gaurav Sharma,et al. Characterization of Scanner Sensitivity , 1993, Color Imaging Conference.
[30] P. Anandan,et al. Hierarchical Model-Based Motion Estimation , 1992, ECCV.