Resources

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)

  • The first half of the book focuses on optics, in somewhat more detail than we have covered in class

  • The second half has a series of very short and readable chapters touching on most of the topics we cover in the course.

  • Also available online: https://learning.oreilly.com/library/view/science-for-the/9781351811859/

• Steven K. Shevell, The science of color (QC495.S345 2003)

  • Sections 2.6-2.8 are a good discussion of the human eye and color vision

  • Chapter 8 is a good explanation of digital color reproduction in displays and printing

  • Also available online: https://www.sciencedirect.com/book/9780444512512/the-science-of-color

• 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)

  • Includes lots of detail on physiology and psychological experiments, written from an engineering perspective.

  • Available online: https://foundationsofvision.stanford.edu/

Scanned readings or papers on particular topics

Demosaicking

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

• Edmund Lam and George Fung, “Automatic White Balancing in Digital Photography” in “Single-sensor Imaging: Methods and Applications for Digital Cameras” ed. Rastislav Lukac (940kB PDF, only available to those in the course)

  • Color figures accompanying the reading (350kB PDF)