Logarithmic adaptive neighborhood image processing (LANIP): introduction, connections to human brightness perception, and application issues

DOI10.1155/2007/36105zbMath1168.94349OpenAlexW2015703393WikidataQ59212746 ScholiaQ59212746MaRDI QIDQ838736

Johan Debayle, Jean-Charles Pinoli

Publication date: 1 September 2009

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2007/36105

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (9)

General adaptive neighborhood image processing: ⋮ General adaptive neighborhood image processing ⋮ High dynamic range imaging by perceptual logarithmic exposure merging ⋮ General adaptive neighborhood-based pretopological image filtering ⋮ Adaptive generalized metrics, distance maps and nearest neighbor transforms on gray tone images ⋮ A statistical framework for generalized linear image processing systems ⋮ Parametric logarithmic type image processing for contrast based auto-focus in extreme lighting conditions ⋮ Adaptive shape diagrams for multiscale morphometrical image analysis ⋮ General adaptive neighborhood Choquet image filtering

Cites Work

• Image dynamic range enhancement and stabilization in the context of the logarithmic image processing model
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• General adaptive neighborhood image processing
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• A general comparative study of the multiplicative homomorphic, log-ratio and logarithmic image processing approaches
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• On the foundations of vision modeling. I: Weber's law and Weberized TV restoration
• Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids
• A theory for multiresolution signal decomposition: the wavelet representation
• SPATIALLY ADAPTIVE MORPHOLOGICAL IMAGE FILTERING USING INTRINSIC STRUCTURING ELEMENTS
• Background subtraction based on logarithmic intensities
• Generalized superposition

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