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Design and Analysis for Fall Detection System Simplification
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An Adaptive Exposure Fusion Method Using fuzzy Logic and Multivariate Normal Conditional Random Fields.

Yu-Hsiu Lin1, Kai-Lung Hua2, Hsin-Han Lu3

  • 1Department Electrical Engineering, Ming Chi University of Technology, New Taipei 243, Taiwan. yhlin@mail.mcut.edu.tw.

Sensors (Basel, Switzerland)
|November 6, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive fusion method for high dynamic range (HDR) imaging, improving detail preservation and reducing artifacts. The new approach enhances visual quality in challenging lighting conditions for applications like intelligent vision sensing.

Keywords:
coarse-to-fine tuningdetail manipulationexposure fusionfuzzy logicintelligent vision sensing

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Area of Science:

  • Computer Vision
  • Image Processing
  • Artificial Intelligence

Background:

  • High dynamic range (HDR) imaging is crucial for intelligent vision sensing applications.
  • Exposure fusion is a key HDR technique, but challenges remain in weight determination and local color inconsistency.
  • Existing methods often require manual tuning to avoid image artifacts.

Purpose of the Study:

  • To develop an adaptive coarse-to-fine approach for optimal fusion weight determination in HDR imaging.
  • To address local color inconsistency and improve detail preservation in fused images.
  • To enhance the natural appearance and reduce artifacts in HDR-like images.

Main Methods:

  • An adaptive coarse-to-fine searching strategy for fusion weights.
  • Fuzzy logic for initial weight determination (coarse-tuning).
  • Multivariate Normal Conditional Random Fields (MNCRF) for fine-tuning weights, considering intra- and inter-image information.
  • A multiscale enhanced fusion scheme for blending images at different levels.

Main Results:

  • The proposed fuzzy-based MNCRF method achieved smoother blending and more natural-looking results.
  • Simultaneous preservation of details in both highlighted and dark regions.
  • Outperformed state-of-the-art methods in objective quality measures and user study analysis.

Conclusions:

  • The adaptive fuzzy-based MNCRF fusion method effectively addresses challenges in HDR image fusion.
  • This technique offers superior performance in detail preservation and visual quality compared to existing methods.
  • The approach has significant potential for various intelligent vision sensing applications.