Real-time image dehazing using genetic programming

Jose Enrique Hernandez-Beltran; Victor H. Diaz-Ramirez; Rigoberto Juarez-Salazar

doi:10.1117/12.2528510

Real-time image dehazing using genetic programming

Jose Enrique Hernandez-Beltran, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar

Centro de Investigación y Desarrollo de Tecnología Digital (CITEDI)

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

Abstract

A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.

Original language	English
Title of host publication	Optics and Photonics for Information Processing XIII
Editors	Khan M. Iftekharuddin, Abdul A. S. Awwal, Victor H. Diaz-Ramirez, Andres Marquez
Publisher	SPIE
ISBN (Electronic)	9781510629653
DOIs	https://doi.org/10.1117/12.2528510
State	Published - 2019
Event	Optics and Photonics for Information Processing XIII 2019 - San Diego, United States Duration: 13 Aug 2019 → 14 Aug 2019

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11136
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optics and Photonics for Information Processing XIII 2019
Country/Territory	United States
City	San Diego
Period	13/08/19 → 14/08/19

Keywords

Image dehazing
genetic programming
real-time image processing.

Access to Document

10.1117/12.2528510

Cite this

Hernandez-Beltran, J. E., Diaz-Ramirez, V. H., & Juarez-Salazar, R. (2019). Real-time image dehazing using genetic programming. In K. M. Iftekharuddin, A. A. S. Awwal, V. H. Diaz-Ramirez, & A. Marquez (Eds.), Optics and Photonics for Information Processing XIII Article 111360V (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11136). SPIE. https://doi.org/10.1117/12.2528510

Hernandez-Beltran, Jose Enrique ; Diaz-Ramirez, Victor H. ; Juarez-Salazar, Rigoberto. / Real-time image dehazing using genetic programming. Optics and Photonics for Information Processing XIII. editor / Khan M. Iftekharuddin ; Abdul A. S. Awwal ; Victor H. Diaz-Ramirez ; Andres Marquez. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).

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abstract = "A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.",

keywords = "Image dehazing, genetic programming, real-time image processing.",

author = "Hernandez-Beltran, {Jose Enrique} and Diaz-Ramirez, {Victor H.} and Rigoberto Juarez-Salazar",

note = "Publisher Copyright: {\textcopyright} 2019 SPIE. Downloading of the abstract is permitted for personal use only.; Optics and Photonics for Information Processing XIII 2019 ; Conference date: 13-08-2019 Through 14-08-2019",

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Hernandez-Beltran, JE, Diaz-Ramirez, VH & Juarez-Salazar, R 2019, Real-time image dehazing using genetic programming. in KM Iftekharuddin, AAS Awwal, VH Diaz-Ramirez & A Marquez (eds), Optics and Photonics for Information Processing XIII., 111360V, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11136, SPIE, Optics and Photonics for Information Processing XIII 2019, San Diego, United States, 13/08/19. https://doi.org/10.1117/12.2528510

Real-time image dehazing using genetic programming. / Hernandez-Beltran, Jose Enrique; Diaz-Ramirez, Victor H.; Juarez-Salazar, Rigoberto.
Optics and Photonics for Information Processing XIII. ed. / Khan M. Iftekharuddin; Abdul A. S. Awwal; Victor H. Diaz-Ramirez; Andres Marquez. SPIE, 2019. 111360V (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11136).

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

TY - GEN

T1 - Real-time image dehazing using genetic programming

AU - Hernandez-Beltran, Jose Enrique

AU - Diaz-Ramirez, Victor H.

AU - Juarez-Salazar, Rigoberto

PY - 2019

Y1 - 2019

N2 - A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.

AB - A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.

KW - Image dehazing

KW - genetic programming

KW - real-time image processing.

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DO - 10.1117/12.2528510

M3 - Contribución a la conferencia

AN - SCOPUS:85075789863

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Optics and Photonics for Information Processing XIII

A2 - Iftekharuddin, Khan M.

A2 - Awwal, Abdul A. S.

A2 - Diaz-Ramirez, Victor H.

A2 - Marquez, Andres

PB - SPIE

T2 - Optics and Photonics for Information Processing XIII 2019

Y2 - 13 August 2019 through 14 August 2019

ER -

Real-time image dehazing using genetic programming

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