High dynamic range image display with halo and clipping prevention

Area of Science:

• Computer Vision
• Image Processing
• Computational Photography

Background:

• High dynamic range (HDR) images possess luminance levels exceeding conventional display capabilities.
• Specialized visualization techniques are necessary for displaying HDR images effectively.
• Image processing can reduce dynamic range while preserving perceived visual quality.

Purpose of the Study:

• To propose an efficient dynamic range reduction algorithm for HDR images.
• To achieve high-quality image visualization with minimal computational cost and parameters.
• To prevent common artifacts like halos and highlight clipping.

Main Methods:

• Developed a dynamic range reduction algorithm based on the Retinex theory of vision.
• Algorithm designed to specifically avoid halos and highlight clipping artifacts.
• Comparative analysis against state-of-the-art techniques and commercial software.

Main Results:

• The proposed algorithm achieves high-quality dynamic range reduction.
• Demonstrates low computational cost and a limited parameter set.
• Effective in preventing common image processing artifacts.

Conclusions:

• The novel Retinex-based algorithm provides an efficient solution for HDR image tone mapping.
• Offers superior artifact control compared to existing methods.
• Suitable for real-time applications requiring high-quality HDR visualization.