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Video and image quality improvement using an enhanced optimized dehazing technique.

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Title: Video and image quality improvement using an enhanced optimized dehazing technique.
Authors: Ayoub, Abeer1 (AUTHOR) abeerayoub777@gmail.com, El-Shafai, Walid2,3 (AUTHOR) eng.waled.elshafai@gmail.com, El-Samie, Fathi E. Abd2,4 (AUTHOR) feabdelhamid@pnu.edu.sa, Hamad, Ehab K. I.1 (AUTHOR) e.hamad@aswu.edu.eg, EL-Rabaie, El-Sayed M.2 (AUTHOR) srabie1@yahoo.com
Source: Multimedia Tools & Applications. Jun2025, Vol. 84 Issue 20, p22681-22699. 19p.
Subjects: Image intensifiers, Signal-to-noise ratio, Haze, Entropy, Histograms
Abstract: The detrimental effects of atmospheric haze frequently plague outdoor imagery. This phenomenon arises from the scattering of light by minute particles within the ambient environment surrounding the scene to be imaged. Haze engenders an overall whitening of the image, leading to diminished contrast. To address these issues and enhance the quality of hazy images and videos, an enhanced dehazing technique is proposed. The proposed technique includes image enhancement before the optimal dehazing process. The enhancement stage entails the implementation of both homomorphic processing and Contrast Limited Adaptive Histogram Equalization (CLAHE), serving to control the image dynamic range, while concurrently heightening the image contrast. The culminating stage encompasses an optimized dehazing technique, adept at expunging haze-induced artifacts from images. The homomorphic processing and CLAHE, applied in the pre-processing step, establish a foundation for the subsequent dehazing procedure. This proposed methodology is systematically applied to a gamut of visual outputs, including visible videos, Near-Infrared (NIR) frames, and authentic hazy images. Comparative evaluations of the proposed technique, homomorphic-processing-based enhanced dehazing, and standalone dehazing techniques is undertaken on different video types encompassing five frames. It is evident that the proposed technique, synergizing the homomorphic processing, CLAHE, and dehazing, outperforms alternative strategies. Furthermore, the proposed technique is subjected to a comparative study with various existing dehazing techniques over real hazy images. The assessment depends on Peak Signal-to-Noise Ratio (PSNR), correlation, and entropy metrics. The results underscore the efficacy of the proposed technique, particularly in terms of spectral entropy enhancement of dehazed frames. For both visible and NIR frames, the percentages of enhancement by the proposed technique are 17.66% and 118.48%, respectively. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Ayoub%2C+Abeer%22">Ayoub, Abeer</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> abeerayoub777@gmail.com</i><br /><searchLink fieldCode="AR" term="%22El-Shafai%2C+Walid%22">El-Shafai, Walid</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> eng.waled.elshafai@gmail.com</i><br /><searchLink fieldCode="AR" term="%22El-Samie%2C+Fathi+E%2E+Abd%22">El-Samie, Fathi E. Abd</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<i> feabdelhamid@pnu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Hamad%2C+Ehab+K%2E+I%2E%22">Hamad, Ehab K. I.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> e.hamad@aswu.edu.eg</i><br /><searchLink fieldCode="AR" term="%22EL-Rabaie%2C+El-Sayed+M%2E%22">EL-Rabaie, El-Sayed M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> srabie1@yahoo.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jun2025, Vol. 84 Issue 20, p22681-22699. 19p.
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  Data: The detrimental effects of atmospheric haze frequently plague outdoor imagery. This phenomenon arises from the scattering of light by minute particles within the ambient environment surrounding the scene to be imaged. Haze engenders an overall whitening of the image, leading to diminished contrast. To address these issues and enhance the quality of hazy images and videos, an enhanced dehazing technique is proposed. The proposed technique includes image enhancement before the optimal dehazing process. The enhancement stage entails the implementation of both homomorphic processing and Contrast Limited Adaptive Histogram Equalization (CLAHE), serving to control the image dynamic range, while concurrently heightening the image contrast. The culminating stage encompasses an optimized dehazing technique, adept at expunging haze-induced artifacts from images. The homomorphic processing and CLAHE, applied in the pre-processing step, establish a foundation for the subsequent dehazing procedure. This proposed methodology is systematically applied to a gamut of visual outputs, including visible videos, Near-Infrared (NIR) frames, and authentic hazy images. Comparative evaluations of the proposed technique, homomorphic-processing-based enhanced dehazing, and standalone dehazing techniques is undertaken on different video types encompassing five frames. It is evident that the proposed technique, synergizing the homomorphic processing, CLAHE, and dehazing, outperforms alternative strategies. Furthermore, the proposed technique is subjected to a comparative study with various existing dehazing techniques over real hazy images. The assessment depends on Peak Signal-to-Noise Ratio (PSNR), correlation, and entropy metrics. The results underscore the efficacy of the proposed technique, particularly in terms of spectral entropy enhancement of dehazed frames. For both visible and NIR frames, the percentages of enhancement by the proposed technique are 17.66% and 118.48%, respectively. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Histograms
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              Text: Jun2025
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