A novel method combining cellular neural networks and the coupled nonlinear oscillators’ paradigm involving a related bifurcation analysis for robust image contrast enhancement in dynamically changing difficult visual environments

DOI10.1088/0031-8949/82/04/045002zbMath1202.94022OpenAlexW2025552339MaRDI QIDQ3062895

Kyandoghere Kyamakya, Jean Chamberlain Chedjou

Publication date: 29 December 2010

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

Full work available at URL: https://doi.org/10.1088/0031-8949/82/04/045002

Mathematics Subject Classification ID

Application models in control theory (93C95) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Dynamical systems in control (37N35) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (2)

Resonant bifurcation of feed-forward chains and application in image contrast enhancement ⋮ Dynamic properties of feed-forward neural networks and application in contrast enhancement for image

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