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An Adaptive Clear High-Dynamic Range Fusion Algorithm Based on Field-Programmable Gate Array for Real-Time Video

Hongchuan Huang1, Yang Xu1, Tingyu Zhao1

  • 1Zhejiang Key Laboratory of Quantum State Control and Optical Field Manipulation, Department of Physics, Zhejiang Sci-Tech University, Hangzhou 310018, China.

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Summary
This summary is machine-generated.

This study introduces a real-time High Dynamic Range (HDR) image fusion method using an FPGA and an adaptive algorithm. It enhances image bit depth to 16 bits, improving fidelity for video streams in dynamic conditions.

Keywords:
bit depthclear HDRfield programmable gate arrayimage fusionvideo stream

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Area of Science:

  • Computer Vision
  • Image Processing
  • Hardware Acceleration

Background:

  • Conventional High Dynamic Range (HDR) image fusion requires multiple exposures, hindering real-time video processing.
  • Existing methods produce HDR images with limited bit depth, causing banding artifacts and reducing applicability.

Purpose of the Study:

  • To develop a real-time HDR image fusion algorithm suitable for video streams.
  • To enhance image fidelity and bit depth, overcoming limitations of conventional methods.
  • To enable high-quality HDR imaging in dynamic illumination conditions.

Main Methods:

  • Utilized a Field Programmable Gate Array (FPGA) with an image sensor in Clear HDR mode, simultaneously capturing High Conversion Gain (HCG) and Low Conversion Gain (LCG) images.
  • Implemented an adaptive adjustment algorithm for real-time fusion, optimizing parameters based on image brightness and read noise.
  • Synthesized HDR images with increased bit depth (12 to 16 bits) for improved detail preservation.

Main Results:

  • Achieved real-time processing at 46 frames per second for 2688 × 1520 resolution video streams.
  • Successfully enhanced image bit depth to 16 bits, effectively mitigating banding artifacts.
  • Demonstrated stable brightness and high fidelity under dynamic illumination conditions.

Conclusions:

  • The proposed FPGA-based real-time HDR fusion method with adaptive optimization offers a robust solution for video streams.
  • Enhanced bit depth and artifact reduction significantly improve image quality for professional applications.
  • The algorithm is well-suited for dynamic scenarios like surveillance and industrial inspection.