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

Extending the dynamic range can present much richer contrasts and physical information from the traditional low dynamic range (LDR) images. To tackle this, we propose a method to generate a high dynamic range image from a single LDR image. In addition, a technique for the matching between the histog...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 20; no. 14; p. 3950
Main Authors Tran, Van Luan, Lin, Huei-Yung
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 16.07.2020
MDPI
Subjects
Algorithms
Dynamic range
extending HDR
HDR image
Histograms
Image quality
LDR2HDR
Methods
Normal distribution
Quality
Quality assessment
Sensors
tone-mapping
Visibility
LDR2HDR
HDR image
extending HDR
tone-mapping
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Summary:Extending the dynamic range can present much richer contrasts and physical information from the traditional low dynamic range (LDR) images. To tackle this, we propose a method to generate a high dynamic range image from a single LDR image. In addition, a technique for the matching between the histogram of a high dynamic range (HDR) image and the original image is introduced. To evaluate the results, we utilize the dynamic range for independent image quality assessment. It recognizes the difference in subtle brightness, which is a significant role in the assessment of novel lighting, rendering, and imaging algorithms. The results show that the picture quality is improved, and the contrast is adjusted. The performance comparison with other methods is carried out using the predicted visibility (HDR-VDP-2). Compared to the results obtained from other techniques, our extended HDR images can present a wider dynamic range with a large difference between light and dark areas.
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This paper is an extended version of Van Luan Tran; Huei-Yung Lin, Dynamic Range Extension and Matching from a Single LDR Image, 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Las Palmas de Gran Canaria, Spain, 26–29 November 2018.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20143950