Translator Disclaimer
27 August 1992 New class of b/w halftoning algorithms
Author Affiliations +
Abstract
We present a new class of dithering algorithms for black and white (b/w) images. The basic idea behind our technique is to divide the image into small blocks and minimize the distortion between the original continuous tone image and its low pass filtered halftone. This corresponds to a quadratic programming problem with linear constraints which is solved via standard optimization techniques. Examples of b/w halftone images using our technique are compared to images obtained via error diffusion algorithm.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Avideh Zakhor, Steve Lin, and Farokh Eskafi "New class of b/w halftoning algorithms", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135961
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Optimal halftoning over hexagonal grids
Proceedings of SPIE (January 15 2006)
Error Diffusion Using Random Field Models
Proceedings of SPIE (January 08 1984)
Clustered-dot halftoning with direct binary search
Proceedings of SPIE (January 18 2010)

Back to Top