Research on CFA-Based Method of Tomography

Yan Ping Zheng

doi:10.4028/www.scientific.net/AMM.687-691.3608

Paper Titles

The Restoration of Motion Blurred Images Based on the Background Modeling
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High-Resolution Remote Multi-Spectral Sensing Images Based on Texture Features
p.3596

Application of Parallel Computing in Feature Point Extraction Processing of Remote Sensing Images
p.3600

Flame Recognition Based on Video Image
p.3604

Research on CFA-Based Method of Tomography
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Research on Fingerprint Image Segmentation under Complex Background
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Research on Low Quality Texture Image Segmentation Background
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Research on Information Channel Distributed Mechanism in Cognitive Wireless Mesh Network
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Research on the Multi-Focus Image Fusion Method Based on the Second-Generation Curvelet Transformation
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on CFA-Based Method of Tomography

Research on CFA-Based Method of Tomography

Abstract:

Due to the artifact of classical image reconstruction algorithms in texture regions, this paper proposes an adaptive region demosaicking using Multi-Gradients. It first recovers green components according to the operators and the texture regions. Then the chrominance channels are reconstructed based on the interpolated green components and constant-hue rule. Experiments prove that this algorithm can improve the effectiveness from the subjective and objective.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3608-3611

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3608

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Online since:

November 2014

Authors:

Yan Ping Zheng

Keywords:

Color Filter Array, Demosaicking, High Frequency Replacement, Image Reconstruction, Multi-Gradient, Spectral Structure

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References

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