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Automatic high-dynamic range image generation for dynamic scenes.

Katrien Jacobs1, Celine Loscos, Greg Ward

  • 1University College London.

IEEE Computer Graphics and Applications
|March 21, 2008
PubMed
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Generate high-dynamic range images automatically from low-dynamic range sources. This method overcomes static scene limitations using camera alignment and movement detection to prevent ghosting from moving objects.

Area of Science:

  • Computer Vision
  • Image Processing

Background:

  • Conventional high-dynamic range imaging (HDRI) necessitates static scenes, limiting its application.
  • Dynamic scenes with moving objects pose challenges for traditional HDRI techniques, often resulting in ghosting artifacts.

Purpose of the Study:

  • To develop an automated method for generating high-dynamic range images (HDRI) from low-dynamic range (LDR) images.
  • To address the limitations of static scene requirements in existing HDRI generation methods.
  • To eliminate ghosting effects caused by moving objects during the HDRI creation process.

Main Methods:

  • The proposed method employs a two-module system.
  • A camera-alignment module ensures precise image registration.
  • A movement detector identifies and mitigates artifacts from object motion.

Related Experiment Videos

Main Results:

  • Successfully generated high-dynamic range images (HDRI) from low-dynamic range (LDR) sources automatically.
  • The system effectively removed ghosting artifacts caused by moving objects.
  • The method demonstrated a viable solution for dynamic scenes where traditional HDRI fails.

Conclusions:

  • Automatic HDRI generation is feasible even with moving objects.
  • The integrated camera-alignment and movement detection modules provide a robust solution.
  • This technique expands the applicability of high-dynamic range imaging to dynamic environments.