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Related Experiment Video

Updated: Dec 13, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

Extending and Matching a High Dynamic Range Image from a Single Image.

Van Luan Tran¹, Huei-Yung Lin²

¹Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan.

Sensors (Basel, Switzerland)

|July 26, 2020

Summary

This summary is machine-generated.

This study presents a new method to generate high dynamic range (HDR) images from low dynamic range (LDR) images, improving image contrast and detail. The technique enhances visual information for better image quality assessment.

Keywords:

HDR image LDR2HDR extending HDR tone-mapping

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Area of Science:

Computer Vision
Image Processing
Digital Imaging

Background:

Traditional low dynamic range (LDR) images lack rich contrast and physical information.
Extending dynamic range is crucial for detailed visual representation.

Purpose of the Study:

To propose a novel method for generating high dynamic range (HDR) images from single LDR images.
To introduce a histogram matching technique for improved HDR image quality.

Main Methods:

Generation of an HDR image from a single LDR input.
Histogram matching between the generated HDR image and the original LDR image.
Image quality assessment using dynamic range and HDR-Visible Difference Predictor (HDR-VDP-2).

Main Results:

The proposed method successfully generates HDR images from LDR images.
Significant improvement in picture quality and contrast adjustment observed.
Extended HDR images exhibit a wider dynamic range with greater differences between light and dark areas.

Conclusions:

The developed technique effectively enhances dynamic range in images.
The method offers superior performance compared to existing techniques for HDR image generation.
This approach provides richer visual information and improved contrast for various imaging applications.