At the library

  • Charles S. Johnson Jr., Science for the curious photographer: an introduction to the science of photography (TR146.J556 2017; upstairs in the oversize section)

  • Roy S. Berns, Billmeyer and Saltzman's principles of color technology, 3rd ed. (QC495.B398 2000)

    • Chapter 2 describes various color systems and spaces (RGB, HSV, XYZ, CIE-Lab)

    • Section 6E discusses color matching for computer systems (i.e., how to reproduce colors on a computer screen)

    • Appendix A gives an overview of matrix math for color science (e.g., going from illumination and reflectance to tristimulus values)

    • Scanned copy of these chapters (50MB PDF, only available to those in the course)

  • Brian Wandell, Foundations of Vision (QP475.W32 1995)

Scanned readings or papers on particular topics


Papers read and discussed in class:

  • Pekkucuksen et al., Multiscale Gradients-Based Color Filter Array Interpolation, IEEE Trans. on Image Processing, Vol 22 No 1, January 2013.

  • Lian et al., Adaptive Filtering for Color Filter Array Demosaicking, IEEE Trans. on Image Processing, Vol 16 No 10, October 2007.

  • Malvar et al., High-Quality Linear Interpolation for Demosaicing of Bayer-Patterned Color Images, ICASSP 2004.

Other demosaicking papers:

  • Alleysson et al., Linear Demosaicing Inspired by the Human Visual System, IEEE Trans. on Image Processing, Vol 14 No 4, April 2005.

  • Hirakawa and Parks, Adaptive Homogeneity-Directed Demosaicing Algorithm IEEE Trans. on Image Processing, Vol 14 No 3, March 2005.

  • Zhang et al., Color Demosaicking Via Directional Linear Minimum Mean Square-Error Estimation, IEEE Trans. on Image Processing, Vol 14 No 12, December 2005.

White balance