Video halftoning

This paper studies video halftoning that renders a digital video sequence onto display devices, which have limited intensity resolutions and color palettes, by trading the spatiotemporal resolution for enhanced intensity/color resolution. This trade is needed when a continuous tone video is not nece...

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Bibliographic Details
Published in:IEEE transactions on image processing 2006-03, Vol.15 (3), p.678-686
Main Author: Sun, Zhaohui
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Color
Colorimetry - methods
Consistency
Data Compression - methods
Detection, estimation, filtering, equalization, prediction
Diffusion
Digital halftoning
Display devices
Errors
Exact sciences and technology
Gain
human visual system
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image sequences
Information, signal and communications theory
Iterative algorithms
Large screen displays
Miscellaneous
motion estimation
Quantization
Signal and communications theory
Signal processing
Signal Processing, Computer-Assisted
Signal, noise
Spatial resolution
spatiotemporal error diffusion
Spatiotemporal phenomena
Sun
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
temporal flicker
Temporal logic
Transmission and modulation (techniques and equipments)
Video Recording - methods
video rendering and display
Video sequences
Visual
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Description
Summary:This paper studies video halftoning that renders a digital video sequence onto display devices, which have limited intensity resolutions and color palettes, by trading the spatiotemporal resolution for enhanced intensity/color resolution. This trade is needed when a continuous tone video is not necessary or not practical for video display, transmission, and storage. In particular, the quantization error of a pixel is diffused to its spatiotemporal neighbors by separable one-dimensional temporal and two-dimensional spatial error diffusions. Motion-adaptive gain control is employed to enhance the temporal consistency of the visual patterns by minimizing the flickering artifacts. Experimental results of halftone and colortone videos are demonstrated and evaluated with various halftoning techniques.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2005.863023