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2025 | OriginalPaper | Buchkapitel

A Single-Image Dehazing Approach Using Brightness Enhancement and Double Transmission Maps

verfasst von : Balla Pavan Kumar, Arvind Kumar, Rajoo Pandey

Erschienen in: Proceedings of Third International Conference on Computational Electronics for Wireless Communications

Verlag: Springer Nature Singapore

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Abstract

The condition of the images is degraded in some environmental situations, such as haze, fog, and mist. In several computer vision (CV) applications, such as remote sensing, border surveillance, and automated driver-assisted systems, image quality plays a significant role. Therefore, it is necessary to design a procedure to eliminate the haze effect, thereby improving the image quality. Several techniques are proposed earlier for haze removal. However, most of these techniques produce under-exposure and halo artifacts. A brightness enhancement called low-brightness image enhancement (LBIE) scheme is developed to address the under-exposure issue. For dehazing purposes, the dual transmission maps (DTM) are implemented in this work which overcome the halo-artifacts problem. The application of LBIE and DTM methods improves the dehazing performance when compared to state-of-the-art haze-removal methods.

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Literatur
1.
Zurück zum Zitat Vasantrao CP, Gupta N, Jonnala NS, Mishra AK (2023) Dual adaptive model for change detection in multispectral images. In: 2023 second international conference on electrical, electronics, information and communication technologies (ICEEICT), pp 1–6, IEEE, Trichirappalli India Vasantrao CP, Gupta N, Jonnala NS, Mishra AK (2023) Dual adaptive model for change detection in multispectral images. In: 2023 second international conference on electrical, electronics, information and communication technologies (ICEEICT), pp 1–6, IEEE, Trichirappalli India
2.
Zurück zum Zitat Jonnala NS, Gupta N, Vasantrao CP, Mishra AK (2023) BCD-Unet: a novel water areas segmentation structure for remote sensing image. In: 2023 7th international conference on intelligent computing and control systems (ICICCS), pp 1320–1325, IEEE, Madurai India Jonnala NS, Gupta N, Vasantrao CP, Mishra AK (2023) BCD-Unet: a novel water areas segmentation structure for remote sensing image. In: 2023 7th international conference on intelligent computing and control systems (ICICCS), pp 1320–1325, IEEE, Madurai India
3.
Zurück zum Zitat Choi LK, You J, Bovik AC (2015) Referenceless prediction of perceptual fog density and perceptual image defogging. IEEE Trans Image Process 24(11):3888–3901MathSciNetCrossRef Choi LK, You J, Bovik AC (2015) Referenceless prediction of perceptual fog density and perceptual image defogging. IEEE Trans Image Process 24(11):3888–3901MathSciNetCrossRef
4.
Zurück zum Zitat He K, Sun J, Tang X (2010) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341–2353 He K, Sun J, Tang X (2010) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341–2353
5.
Zurück zum Zitat Koschmieder H (1924) Theorie der horizontalen Sichtweite. Beitrage zur Physik der freien Atmosphare, pp 33–53 Koschmieder H (1924) Theorie der horizontalen Sichtweite. Beitrage zur Physik der freien Atmosphare, pp 33–53
6.
Zurück zum Zitat Berman D, Avidan S (2016) Non-local image dehazing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1674–1682 Berman D, Avidan S (2016) Non-local image dehazing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1674–1682
7.
Zurück zum Zitat Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24(11):3522–3533MathSciNetCrossRef Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24(11):3522–3533MathSciNetCrossRef
8.
Zurück zum Zitat Meng G, Wang Y, Duan J, Xiang S, Pan C (2013) Efficient image dehazing with boundary constraint and contextual regularization. In: Proceedings of the IEEE international conference on computer vision, pp 617–624 Meng G, Wang Y, Duan J, Xiang S, Pan C (2013) Efficient image dehazing with boundary constraint and contextual regularization. In: Proceedings of the IEEE international conference on computer vision, pp 617–624
9.
Zurück zum Zitat Bui TM, Kim W (2017) Single image dehazing using color ellipsoid prior. IEEE Trans Image Process 27(2):999–1009MathSciNetCrossRef Bui TM, Kim W (2017) Single image dehazing using color ellipsoid prior. IEEE Trans Image Process 27(2):999–1009MathSciNetCrossRef
10.
Zurück zum Zitat Kumar BP, Kumar A, Pandey R (2022) Region-based adaptive single image dehazing, detail enhancement and pre-processing using auto-colour transfer method. Signal Process: Image Commun 100:116532 Kumar BP, Kumar A, Pandey R (2022) Region-based adaptive single image dehazing, detail enhancement and pre-processing using auto-colour transfer method. Signal Process: Image Commun 100:116532
11.
Zurück zum Zitat Ehsan SM, Imran M, Ullah A, Elbasi E (2021) A single image dehazing technique using the dual transmission maps strategy and gradient-domain guided image filtering. IEEE Access 9:89055–89063CrossRef Ehsan SM, Imran M, Ullah A, Elbasi E (2021) A single image dehazing technique using the dual transmission maps strategy and gradient-domain guided image filtering. IEEE Access 9:89055–89063CrossRef
12.
Zurück zum Zitat Kumar BP, Kumar A, Pandey R (2023) A generic post-processing framework for image dehazing. SIViP 17(6):3183–3191CrossRef Kumar BP, Kumar A, Pandey R (2023) A generic post-processing framework for image dehazing. SIViP 17(6):3183–3191CrossRef
13.
Zurück zum Zitat Lim JS (1990) Two-dimensional signal and image processing, Englewood Cliffs Lim JS (1990) Two-dimensional signal and image processing, Englewood Cliffs
14.
Zurück zum Zitat He K, Sun J, Tang X (2012) Guided image filtering. IEEE Trans Pattern Anal Mach Intell 35(6):1397–1409CrossRef He K, Sun J, Tang X (2012) Guided image filtering. IEEE Trans Pattern Anal Mach Intell 35(6):1397–1409CrossRef
15.
Zurück zum Zitat Li B, Ren W, Fu D, Tao D, Feng D, Zeng W, Wang Z (2018) Benchmarking single-image dehazing and beyond. IEEE Trans Image Process 28(1):492–505MathSciNetCrossRef Li B, Ren W, Fu D, Tao D, Feng D, Zeng W, Wang Z (2018) Benchmarking single-image dehazing and beyond. IEEE Trans Image Process 28(1):492–505MathSciNetCrossRef
Metadaten
Titel
A Single-Image Dehazing Approach Using Brightness Enhancement and Double Transmission Maps
verfasst von
Balla Pavan Kumar
Arvind Kumar
Rajoo Pandey
Copyright-Jahr
2025
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-1943-3_33