Abstract
Classical linear signal processing techniques when applied to color demosaic tends to over smooth the color signal, resulting in noticeable artifacts along edges and color features. We proposed in this paper to let the color channels support the edges and the edge support the interpolation of missing color, and thus achieve demosaic full-color image with better perceptual quality. The computational complexity of the proposed algorithm is compatible with other fast demosaic algorithms.
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References
B.E. Bayer, “Color imaging array”, U.S. Patent 3971065, 1976.
N. Ozawa, “Chrominance signal interpolation device for a color camera”, U.S. Patent 4716455.
J.E. Adams, “Interactions between color plane interpolation and other image processing functions in electronic photography,” Proc. of SPIE, vol. 2416, pp.144–151.
T. Sakamoto, et.al., “Software pixel interpolation for digital still cameras suitable for a 32-bit MCU”, IEEE Ram. Consumer Electronics, pp.1342–1352, Nov. 1998.
Z. Hidemori, et.al., “A New digital signal processor for progressive scan CCD”, IEEE Trans. Consumer Electronics, pp.289–295, May 1998.
D.R. Cok, “Single-Chip electronic color camera with color-dependent birefringent optical spatial frequency filter and red and blue signal interpolating circuit”, U.S. Patent 4605956.
K.A. Parulski, “Color Filters and Processing Alternatives for one-chip cameras”, IEEE Trans. Electron Devices, Aug. 1985.
W.H. Chan et.al, “A Mega-Pixel resolution PC Digital Still Camera”, Proc. SPIE, vol.2654, pp.164–171.
Y.T. Tsai, “Optimized Image Processing Algorithms for a Single Sensor Camera”, 1997 IEEE Pacific Rim Con! Communications, Computers and Signal Processing, vol.2, pp.1010–1013, 1997.
X.L. Wu, et.al., “Color Restoration from Digital Camera Data by Pattern Matching”, Proc. SPIE, vol.3018, pp.12–17.
D.R. Cok, “Signal processing method and apparatus for producing interpolated chrominance values in a sampled color image signal”, U.S. Patent, 4642678.
K.A. Parulski, et.al., “A High-Performance Digital Color Video Camera”, Proc. SPIE, vol.1448, pp.45–48.
J.A. Weldy, “Optimized design for a single-sensor color electronic camera system,” Proc. SPIE vol.1071, pp.300–307.
R.H. Hibbasd, “Apparatus and method for adaptively interpolating a full-color image utilizing luminance gradients,” U.S. Patent 5382976.
J.E. Adams, “Color processing in digital cameras,” Eastman Kodak Company.
D.R. Cok, “Signal processing method and apparatus for sampled image signals,” U.S. Patent 4630307.
C.A. Laroche, “Apparatus and method for adaptively interpolating a full color image utilizing chrominance gradients,” U.S. Patent 5373322.
Hamilton Jr. et.al., “Adaptive color plane interpolation in single sensor color electronic camera,” U.S. Patent, 5629734.
J.E. Adams et.al., “Adaptive color plane interpolation in single color electronic camera,” U.S. Patent 5506619, 1996.
J.E. Adams et.al., “Design of practical color filter array interpolation algorithms for digital cameras,” Proc. SPIE, vol.3028, pp.117–125, 1997.
E. Chang, et.al., “Color filter array recovery using a threshold-based variable number of gradients,” to be published in Proc. SPIE, Jan 1999.
R.G. Keys, et.al., “Cubic convolution interpolation for digital image processing”, IEEE Trans on ASSP, pp.1153–1160, 1981.
K.W. Simons, “Digital image reconstruction and resampling for geometric manipulation,” Proc. IEEE Symp. Machine Processing of Remotely Sense Data, p.3A1–3A11, 1975.
D.P. Mitchell, et.al., “Reconstruction filters in computer graphics,” Computer Graphics, (Proc. SIGGRAPH’88), vol.22-no.4, pp.221–228, Aug. 1988.
W.F. Schreiber, et.al., “Transformation between continuous and discrete representations of image: A perceptual appraoch,” IEEE Trans. PAMI, pp.178–186, Mar. 1985.
H.S. Hou, “Cubic splines for image interpolation and digital filtering,” IEEE Trans. ASSP, pp.508–517, 1987.
W.T. Freeman, “Method and apparatus for reconstructing missing color samples,” U.S. Patent 4663655.
W.T. Freeman, “Median filter for reconstructing missing color samples,” U.S. Patent 4724395, 1988.
M.A. Wober, “Method and apparatus for recovering image data through the use of a color test pattern,” U.S. Patent 5475769.
T.A. Matraszek, et.al. “Gradient based method for providing values for unknown pixels in a digital image,” U.S. Patent, 5875040.
D_H. Brainard, et.al., “Bayesian method for reconstructing color images from trichromatic samples,” IS&T 47th Annual Conference, pp.375–380, 1994.
E. Shimizu, et.al., “The digital camera using new compression and interpolation algorithm,” IS&iT 49th Annual Conference, pp.268–273, 1996.
C.H. Wu, et.al., “Reconstruction of color images from a single-chip CCD Sensor based on markov random field models,” Proc. SPIE, vol.2564, pp.282–288.
D.R. Cok, “Reconstruction of CCD images using template matching,” Proc. IS&T Annual Conf. ICPS, pp.380–385, 1994.
B.A. Wandell, Foundations of Vision, Sinauer Associates, Inc., 1995. 1089-2 Fig. 3. (a)Original rose image, (b) Sampled with Bayer color filter array pattern, (c) Demosaic image with proposed algorithm.
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Lam, SH., Kok, CW. (2001). Demosaic: Color Filter Array Interpolation for Digital Cameras. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_148
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DOI: https://doi.org/10.1007/3-540-45453-5_148
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