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Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction

The tone-mapping algorithm compresses the high dynamic range (HDR) information into the standard dynamic range for regular devices. An ideal tone-mapping algorithm reproduces the HDR image without losing any vital information. The usual tone-mapping algorithms mostly deal with detail layer enhanceme...

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Detalles Bibliográficos
Autores principales: Fahim, Masud An-Nur Islam, Jung, Ho Yub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472342/
https://www.ncbi.nlm.nih.gov/pubmed/32764451
http://dx.doi.org/10.3390/s20164378
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author Fahim, Masud An-Nur Islam
Jung, Ho Yub
author_facet Fahim, Masud An-Nur Islam
Jung, Ho Yub
author_sort Fahim, Masud An-Nur Islam
collection PubMed
description The tone-mapping algorithm compresses the high dynamic range (HDR) information into the standard dynamic range for regular devices. An ideal tone-mapping algorithm reproduces the HDR image without losing any vital information. The usual tone-mapping algorithms mostly deal with detail layer enhancement and gradient-domain manipulation with the help of a smoothing operator. However, these approaches often have to face challenges with over enhancement, halo effects, and over-saturation effects. To address these challenges, we propose a two-step solution to perform a tone-mapping operation using contrast enhancement. Our method improves the performance of the camera response model by utilizing the improved adaptive parameter selection and weight matrix extraction. Experiments show that our method performs reasonably well for overexposed and underexposed HDR images without producing any ringing or halo effects.
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spelling pubmed-74723422020-09-04 Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction Fahim, Masud An-Nur Islam Jung, Ho Yub Sensors (Basel) Article The tone-mapping algorithm compresses the high dynamic range (HDR) information into the standard dynamic range for regular devices. An ideal tone-mapping algorithm reproduces the HDR image without losing any vital information. The usual tone-mapping algorithms mostly deal with detail layer enhancement and gradient-domain manipulation with the help of a smoothing operator. However, these approaches often have to face challenges with over enhancement, halo effects, and over-saturation effects. To address these challenges, we propose a two-step solution to perform a tone-mapping operation using contrast enhancement. Our method improves the performance of the camera response model by utilizing the improved adaptive parameter selection and weight matrix extraction. Experiments show that our method performs reasonably well for overexposed and underexposed HDR images without producing any ringing or halo effects. MDPI 2020-08-05 /pmc/articles/PMC7472342/ /pubmed/32764451 http://dx.doi.org/10.3390/s20164378 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fahim, Masud An-Nur Islam
Jung, Ho Yub
Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title_full Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title_fullStr Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title_full_unstemmed Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title_short Fast Single-Image HDR Tone-Mapping by Avoiding Base Layer Extraction
title_sort fast single-image hdr tone-mapping by avoiding base layer extraction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472342/
https://www.ncbi.nlm.nih.gov/pubmed/32764451
http://dx.doi.org/10.3390/s20164378
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