On the foundations of vision modeling. I: Weber's law and Weberized TV restoration

DOI10.1016/S0167-2789(02)00734-0zbMath1006.91057WikidataQ54087334 ScholiaQ54087334MaRDI QIDQ1852646

Jianhong Shen

Publication date: 7 January 2003

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

human perceptionnonlinear Euler-Lagrange equationnonlinear total variation image restoration model

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Physiological, cellular and medical topics (92C99) Psychophysics and psychophysiology; perception (91E30)

Related Items (8)

Logarithmic adaptive neighborhood image processing (LANIP): introduction, connections to human brightness perception, and application issues ⋮ A new variational approach for restoring images with multiplicative noise ⋮ On the foundations of vision modeling. III: Noncommutative monoids of occlusive preimages ⋮ A geometric model of brightness perception and its application to color images correction ⋮ The intensity-based measure approach to ``Weberize \(L^2\)-based methods of signal and image approximation ⋮ The use of intensity-dependent weight functions to ``Weberize \(L^2\)-based methods of signal and image approximation ⋮ JPEG lifting algorithm based on adaptive block compressed sensing ⋮ DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

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• A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
• The digital TV filter and nonlinear denoising
• Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
• Iterative Methods for Total Variation Denoising

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