DocumentCode
294779
Title
Entropy constrained halftoning by tree coding
Author
Wong, Ping Wah
Author_Institution
Hewlett-Packard Lab, Palo Alto, CA, USA
Volume
4
fYear
1995
fDate
9-12 May 1995
Firstpage
2335
Abstract
An entropy constraint is introduced into a tree coding halftoner, so that one can control the degree of compressibility of the bi-level output images. The algorithm essentially trades image quality with compressibility as indicated by rate distortion theory. We demonstrate that this algorithm can generate halftone images that are of higher quality than error diffusion, and yet are also more amenable to compression than error diffused images
Keywords
data compression; entropy codes; image coding; rate distortion theory; algorithm; bilevel output images; entropy constrained halftoning; error diffusion; image coding; image compressibility; image compression; image quality; rate distortion theory; tree coding; tree coding halftoner; Code standards; Distortion measurement; Entropy; Image coding; Image generation; Image quality; Image resolution; Laboratories; Printing; Rate distortion theory; Rendering (computer graphics);
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479960
Filename
479960
Link To Document