Inverse tone mapping based upon retina response

Area of Science:

• Computer Vision
• Image Processing
• Human Visual System Modeling

Background:

• High dynamic range (HDR) displays require images with expanded dynamic range.
• Existing inverse tone mapping algorithms often introduce artifacts and lose image details.
• Low dynamic range (LDR) images need enhancement to match HDR display capabilities.

Purpose of the Study:

• To propose a novel physiological approach for inverse tone mapping.
• To expand the dynamic range of LDR images for HDR displays.
• To overcome limitations of existing inverse tone mapping algorithms, such as artifacts and contrast loss.

Main Methods:

• Development of a dynamic range expansion scheme inspired by the human visual system (HVS).
• Implementation of a method with low computational complexity and a limited number of parameters.
• Comparative analysis against three recent inverse tone mapping algorithms.

Main Results:

• The proposed physiological approach effectively expands image dynamic range.
• The method avoids artifacts commonly seen in other inverse tone mapping techniques.
• High-quality HDR results were obtained with reduced contrast loss and distortion.
• More important image details were preserved compared to existing algorithms.

Conclusions:

• The novel physiological inverse tone mapping method offers a promising solution for LDR to HDR image enhancement.
• The approach leverages HVS properties for artifact reduction and detail preservation.
• This method provides a computationally efficient and effective way to generate high-quality HDR images from LDR inputs.