Paper
21 December 2000 Optimal halftoning for network-based imaging
Victor Ostromoukhov
Author Affiliations +
Proceedings Volume 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI; (2000) https://doi.org/10.1117/12.410818
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
In this contribution, we introduce a multiple depth progressive representation for network-based still and moving images. A simple quantization algorithm associated with this representation provides optimal image quality. By optimum, we mean the best possible visual quality for a given value of information under real life constraints such as physical, psychological , or legal constraints. A special variant of the algorithm, multi-depth coherent error diffusion, addresses a specific problem of temporal coherence between frames in moving images. The output produced with our algorithm is visually pleasant because its Fourier spectrum is close to the 'blue noise'.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Victor Ostromoukhov "Optimal halftoning for network-based imaging", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); https://doi.org/10.1117/12.410818
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KEYWORDS
Quantization

Visualization

Image quality

Temporal coherence

Diffusion

Network architectures

Binary data

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