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A Low-Delay Dynamic Range Compression and Contrast Enhancement Algorithm Based on an Uncooled Infrared Sensor with

Youpan Zhu1,2, Yongkang Zhou2,3, Weiqi Jin1

  • 1School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.

Sensors (Basel, Switzerland)
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Summary

This study introduces a new algorithm for infrared image processing that compresses high dynamic range images in real-time. The dynamic range compression and enhancement algorithm (DRCE-LOC) effectively preserves image details and improves visual quality.

Keywords:
dynamic range compressioninfrared imagelocal optimal contrastreal-time imaging

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Area of Science:

  • Infrared image processing
  • Computer vision
  • Image compression

Background:

  • High dynamic range (HDR) to low dynamic range (LDR) image compression is crucial for infrared imaging.
  • Preserving image detail during dynamic range compression remains a challenge.

Purpose of the Study:

  • To develop a real-time dynamic range compression and enhancement algorithm for infrared images.
  • To improve the preservation of image details and visual quality in processed infrared images.

Main Methods:

  • The proposed dynamic range compression and enhancement algorithm (DRCE-LOC) involves blocking the image to determine local optimal stretching coefficients.
  • It separates images into background and detailed layers, adaptively compressing the background and enhancing details.
  • The algorithm merges enhanced details with the compressed background to create an 8-bit image.

Main Results:

  • The DRCE-LOC algorithm was implemented on FPGA, demonstrating efficient resource utilization (2.2554 Mb Block RAM) and low processing delay (0.018 s).
  • Comparative analysis across various scenarios (rich scenes, small targets, indoor scenes) showed superior performance over mainstream algorithms.
  • The algorithm excelled in real-time processing, resource efficiency, detail preservation, and visual effects.

Conclusions:

  • The DRCE-LOC algorithm offers a superior solution for real-time infrared image dynamic range compression and enhancement.
  • It effectively balances compression, detail preservation, and visual enhancement for infrared imaging applications.