Visualization of Noise Spectra
1998 - present
Algorithms for visualization of noise spectra are critically important for evaluation of halftone image quality. The challenge is to display magnitude and phase information so that their relative importance is taken into account and an intuitive visual assessment of the corresponding halftone image quality becomes possible. The task is nontrivial for both monochrome and color visualization, due to perceptual nonuniformity of color spaces and/or the need for tone scale adjustment.
Yee S. Ng, Hwai T. Tai, Chung-hui Kuo and Dmitri A. Gusev, Advances in NexPress Digital Printing Technology, NIP23: The 23rd International Conference on Digital Printing Technologies, Anchorage, Alaska (Sep. 16-21, 2007) pp. 489-493
Dmitri A. Gusev, Anti-Correlation Digital Halftoning, Ph.D. thesis, Computer Science Department, Indiana University, Bloomington (1999)
Dmitri A. Gusev, Anti-Correlation Digital Halftoning, TR No. 513, Computer Science Department, Indiana University, Bloomington, August 1998.