EE381K Multidimensional DSP - Halftoning
Lecture by Prof. Brian L. Evans
Announcement
- Mr. Vishal Monga,
The University of Texas at Austin,
"Perceptually Based Methods for Robust Image Hashing",
Wednesday, April 13th, 9:00 AM, ENS 637.
This is Ph.D. defense.
- Dr. Shen-ge Wang,
Xerox Laboratories, Webster, NY,
"Glossmark Technology:
Beyond Halftone Frequencies",
Wednesday, April 13th, 12:00 PM, SEA 4.244.
Lecture
- Digital halftoning is the process by which a continuous-tone image is
converted to a binary image, or halftone, for printing or display on
binary devices.
- Throughput calculations for a high-end laser printer for
printing 8.5" by 11" pages at 24 pages per minute:
- 600 dots per inch: 13.464 Mpixels/s
- 1200 dots per inch: 53.856 Mpixels/s
- Compare this to NTSC video
- 704 by 576 frames at 30 frames/s for 3 colors/frame: 36.495 Mpixels/s
- Dots per inch or lines per inch?
Dots per inch is a marketing ploy.
The way that dots per inch is computed by first printing a line
of four dots, then printing a line of three dots right under it,
and the difference in lengths is taken as the size of one dot.
At 600 dpi and higher, a printer is not really able to render
an isolated single dot.
- Halftone
comparison
- Halftoning by screening
- Talk on Halftoning available in
PowerPoint and
PDF formats.
References
- T. D. Kite, B. L. Evans, and A. C. Bovik,
"Modeling and Quality Assessment of Halftoning by Error Diffusion",
IEEE Transactions on Image Processing,
vol. 9, no. 4, pp. 909-922, May 2000.
- T. D. Kite, N. Damera-Venkata, B. L. Evans, and A. C. Bovik,
"A Fast, High-Quality Inverse Halftoning Algorithm for
Error Diffused Halftones",
IEEE Transactions on Image Processing,
vol. 9, no. 9, pp. 1583-1592, Sep. 2000.
Last updated 04/12/05.
Send comments to
bevans@ece.utexas.edu