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Agent-Based Optimal Control for Image Processing

delete2026-04-15
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OA
AI
A
Alessio Oliviero *
S
Simone Cacace
G
Giuseppe Visconti
DOI：10.1016/j.apm.2026.116967delete
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Abstract

Abstract

En 中文
• An agent-based mathematical model for image colour segmentation and quantization. • Optimal control problem for agent interactions, preserving image structures. • Total variation regularization enhances edge preservation and reduces noise. • Efficient primal-dual ADMM algorithm with GPU implementation for scalability. • Numerical validation on real images demonstrating accurate dynamic clustering.
Keywords:
Multi-agent systems
Image processing
Unsupervised learning
Augmented Lagrangian
Primal-dual splitting
Method of multipliers
CUDA implementation
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Applied Mathematical Modelling cover
Applied Mathematical Modelling
IF:
5.1
Papers:
1.1K
Citations:
2.8W

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