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Portrait of Predrag Bakic. Photo

Predrag Bakic

Associate Professor

Portrait of Predrag Bakic. Photo

CNN paradigm based multilevel halftoning of digital images

Author

  • Predrag R. Bakic
  • Nenad S. Vujovic
  • Dragana P. Brzakovic
  • Pavle D. Kostic
  • Branimir D. Reljin

Summary, in English

-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.

Publishing year

1997

Language

English

Pages

50-53

Publication/Series

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

Volume

44

Issue

1

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Medical Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 1057-7130