CNN paradigm based multilevel halftoning of digital images
(1997) In IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 44(1). p.50-53- Abstract
-An algorithm for displaying gray level images using a small number of flxed quantization levels is proposed. The algorithm, called multilevel halftoning, is based on the Cellular Neural Networks (CNN) paradigm. It tracks the CNN transient outputs and selects the image which is subjectively perceived to be the best when reduced to the allowed number of gray levels. The selection criterion is based on the "visually compensated" mean square error that takes into account the specifics of the human visual system. The results of the proposed algorithm were validated in subjective quality experiments with human subjects.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/397db5fa-c65f-4c6d-bdf6-52efcd1cb3b5
- author
- Bakic, Predrag R. LU ; Vujovic, Nenad S. ; Brzakovic, Dragana P. ; Kostic, Pavle D. and Reljin, Branimir D.
- publishing date
- 1997
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- volume
- 44
- issue
- 1
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:0030833145
- ISSN
- 1057-7130
- DOI
- 10.1109/82.559369
- language
- English
- LU publication?
- no
- id
- 397db5fa-c65f-4c6d-bdf6-52efcd1cb3b5
- date added to LUP
- 2020-11-07 13:28:45
- date last changed
- 2022-02-01 17:37:42
@article{397db5fa-c65f-4c6d-bdf6-52efcd1cb3b5, abstract = {{<p>-An algorithm for displaying gray level images using a small number of flxed quantization levels is proposed. The algorithm, called multilevel halftoning, is based on the Cellular Neural Networks (CNN) paradigm. It tracks the CNN transient outputs and selects the image which is subjectively perceived to be the best when reduced to the allowed number of gray levels. The selection criterion is based on the "visually compensated" mean square error that takes into account the specifics of the human visual system. The results of the proposed algorithm were validated in subjective quality experiments with human subjects.</p>}}, author = {{Bakic, Predrag R. and Vujovic, Nenad S. and Brzakovic, Dragana P. and Kostic, Pavle D. and Reljin, Branimir D.}}, issn = {{1057-7130}}, language = {{eng}}, number = {{1}}, pages = {{50--53}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing}}, title = {{CNN paradigm based multilevel halftoning of digital images}}, url = {{http://dx.doi.org/10.1109/82.559369}}, doi = {{10.1109/82.559369}}, volume = {{44}}, year = {{1997}}, }