A Variational Approach for Image Decolorization by Variance Maximization

DOI10.1137/130935197zbMath1391.94085OpenAlexW2073978385MaRDI QIDQ2876832

Fang Li, Michael Kwok-Po Ng, Zheng Meng Jin

Publication date: 20 August 2014

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/130935197

zbMATH Keywords

total variationvariational approachdecolorizationalternating minimizationcolor-to-grayscalevariance maximization

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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A coupled total variation model with curvature driven for image colorization ⋮ A multi-tasking novel variational model for image decolorization and denoising ⋮ A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion ⋮ Two-Stage Decolorization Based on Histogram Equalization and Local Variance Maximization ⋮ Image colorization by fusion of color transfers based on DFT and variance features ⋮ A Variational Model for Spatially Weighting in Image Fusion

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