DocumentCode
2061039
Title
Image halftoning using multipath tree coding
Author
Wong, Ping Wah
Author_Institution
Hewlett-Packard Labs., Palo Alto, CA, USA
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
31
Abstract
We suggest an optimization based method for halftoning that involves looking ahead into the future before a decision for each binary output pixel is made. We first define a mixture distortion criterion that is a combination of a frequency weighted mean square error and a measure depending on the distances between minority pixels in the halftone. A tree coding approach with the ML-algorithm is used for minimizing the distortion criterion and generate a halftone
Keywords
approximation theory; image coding; maximum likelihood estimation; optimisation; ML-algorithm; binary output pixel; distances; frequency weighted mean square error; halftone; image halftoning; minority pixels; mixture distortion criterion; multipath tree coding; optimization based method; Distortion measurement; Humans; Image coding; Laboratories; Mean square error methods; Milling machines; Minimization methods; Optimization methods; Pixel; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413525
Filename
413525
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