Optimization of DCP dehazing algorithm through sky segmentation

Ignacio Elias Vargas-Campos; Luis Alberto Chavarria-Zamora

doi:10.1109/SCEECS54111.2022.9740821

Optimization of DCP dehazing algorithm through sky segmentation

Ignacio Elias Vargas-Campos
, Luis Alberto Chavarria-Zamora

Escuela de Ingeniería en Computadores

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The Dark Channel Prior dehazing algorithm degrades scenes of the sky when attempting to dehaze them, ruining their quality by trying to find a solid scene that isn't present. Due to this, a simple algorithm to identify sky regions is proposed and applied in order to improve its output. The main procedure described in this paper is to replace the original image's sky region into the DCP-processed image. The result is a dehazed image through the DCP algorithm that has a natural looking sky region.

Original language	English
Title of host publication	2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022
Editors	Deepanshu Saxena
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665414180
DOIs	https://doi.org/10.1109/SCEECS54111.2022.9740821
State	Published - 2022
Event	2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022 - Bhopal, India Duration: 19 Feb 2022 → 20 Feb 2022

Publication series

Name	2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022

Conference

Conference	2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022
Country/Territory	India
City	Bhopal
Period	19/02/22 → 20/02/22

Keywords

Dark Channel Prior
Dehazing
Edge Detection
Sky Recognition

Access to Document

10.1109/SCEECS54111.2022.9740821

Cite this

Vargas-Campos, I. E., & Chavarria-Zamora, L. A. (2022). Optimization of DCP dehazing algorithm through sky segmentation. In D. Saxena (Ed.), 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022 (2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCEECS54111.2022.9740821

Vargas-Campos, Ignacio Elias ; Chavarria-Zamora, Luis Alberto. / Optimization of DCP dehazing algorithm through sky segmentation. 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022. editor / Deepanshu Saxena. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022).

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title = "Optimization of DCP dehazing algorithm through sky segmentation",

abstract = "The Dark Channel Prior dehazing algorithm degrades scenes of the sky when attempting to dehaze them, ruining their quality by trying to find a solid scene that isn't present. Due to this, a simple algorithm to identify sky regions is proposed and applied in order to improve its output. The main procedure described in this paper is to replace the original image's sky region into the DCP-processed image. The result is a dehazed image through the DCP algorithm that has a natural looking sky region.",

keywords = "Dark Channel Prior, Dehazing, Edge Detection, Sky Recognition",

author = "Vargas-Campos, \{Ignacio Elias\} and Chavarria-Zamora, \{Luis Alberto\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE. All rights reserved; 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022 ; Conference date: 19-02-2022 Through 20-02-2022",

year = "2022",

doi = "10.1109/SCEECS54111.2022.9740821",

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series = "2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Deepanshu Saxena",

booktitle = "2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022",

}

Vargas-Campos, IE & Chavarria-Zamora, LA 2022, Optimization of DCP dehazing algorithm through sky segmentation. in D Saxena (ed.), 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022. 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022, Bhopal, India, 19/02/22. https://doi.org/10.1109/SCEECS54111.2022.9740821

Optimization of DCP dehazing algorithm through sky segmentation. / Vargas-Campos, Ignacio Elias; Chavarria-Zamora, Luis Alberto.
2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022. ed. / Deepanshu Saxena. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of DCP dehazing algorithm through sky segmentation

AU - Vargas-Campos, Ignacio Elias

AU - Chavarria-Zamora, Luis Alberto

PY - 2022

Y1 - 2022

N2 - The Dark Channel Prior dehazing algorithm degrades scenes of the sky when attempting to dehaze them, ruining their quality by trying to find a solid scene that isn't present. Due to this, a simple algorithm to identify sky regions is proposed and applied in order to improve its output. The main procedure described in this paper is to replace the original image's sky region into the DCP-processed image. The result is a dehazed image through the DCP algorithm that has a natural looking sky region.

AB - The Dark Channel Prior dehazing algorithm degrades scenes of the sky when attempting to dehaze them, ruining their quality by trying to find a solid scene that isn't present. Due to this, a simple algorithm to identify sky regions is proposed and applied in order to improve its output. The main procedure described in this paper is to replace the original image's sky region into the DCP-processed image. The result is a dehazed image through the DCP algorithm that has a natural looking sky region.

KW - Dark Channel Prior

KW - Dehazing

KW - Edge Detection

KW - Sky Recognition

UR - https://www.scopus.com/pages/publications/85128080501

U2 - 10.1109/SCEECS54111.2022.9740821

DO - 10.1109/SCEECS54111.2022.9740821

M3 - Contribución a la conferencia

AN - SCOPUS:85128080501

T3 - 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022

BT - 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022

A2 - Saxena, Deepanshu

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022

Y2 - 19 February 2022 through 20 February 2022

ER -

Vargas-Campos IE, Chavarria-Zamora LA. Optimization of DCP dehazing algorithm through sky segmentation. In Saxena D, editor, 2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2022). doi: 10.1109/SCEECS54111.2022.9740821

Optimization of DCP dehazing algorithm through sky segmentation

Abstract

Publication series

Conference

Keywords

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Optimization of DCP dehazing algorithm through sky segmentation

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

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VIPro-TEC: Desarrollo de una Tecnología basada en Procesamiento de Video e Imágenes Orientada Para Vehículos Autónomos Bajo Condiciones de Visión No Ideales

Cite this