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Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction.

Masud An-Nur Islam Fahim1, Ho Yub Jung1

  • 1Department of Computer Engineering, Chosun University, Gwangju 61452, Korea.

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|August 9, 2020
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Summary
This summary is machine-generated.

This study introduces a novel two-step tone-mapping algorithm for high dynamic range (HDR) images. The method enhances contrast and camera response models, effectively reducing halo effects and improving image quality for overexposed and underexposed scenes.

Keywords:
adaptive parameterscamera response functioncontrast stretchingtone-mapping

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Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Imaging

Background:

  • High dynamic range (HDR) imaging captures a wider range of luminance than standard displays.
  • Traditional tone-mapping algorithms often introduce artifacts like over-enhancement, halos, and color saturation issues.
  • Existing methods primarily focus on detail enhancement and gradient manipulation, facing limitations in artifact reduction.

Purpose of the Study:

  • To develop an improved tone-mapping algorithm that mitigates common artifacts.
  • To enhance the performance of camera response models for HDR image processing.
  • To achieve superior HDR to standard dynamic range (SDR) conversion without visual distortions.

Main Methods:

  • A two-step tone-mapping approach utilizing contrast enhancement.
  • Improved adaptive parameter selection for camera response modeling.
  • Weight matrix extraction for refined image processing.
  • Focus on minimizing ringing and halo effects during tone mapping.

Main Results:

  • The proposed algorithm effectively compresses HDR information to SDR.
  • Demonstrated reduction in over-enhancement, halo effects, and over-saturation.
  • Successful tone mapping of both overexposed and underexposed HDR images.
  • Experimental validation confirms the absence of ringing and halo artifacts.

Conclusions:

  • The novel two-step tone-mapping method offers a robust solution for HDR image display.
  • Improved adaptive parameter selection and weight matrix extraction enhance image quality.
  • The algorithm successfully addresses limitations of conventional tone-mapping techniques, providing artifact-free results.