Retinex-Based Framework for Visibility Enhancement During Inclement Weather with Tracking and Estimating Distance of Vehicles

Alluhaidan, Marwan; Alsafasfeh, Moath; Abdel‐Qader, Ikhlas; Abudayyeh, Osama

doi:10.1109/jeeit.2019.8717392

Cited by 2 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This section explores the subjective and objective evaluations to comprehensively compare the proposed method to the other methods. Other methods include those of He et al [30], Alluhaidan [17], Li et al [16], Fu et al [19], Yang et al [21] and Shi et al [3]. The evaluations are achieved using representative image databases, including Flickr [43] and Google Images [44], for a total sample set of 200 images.…”

Section: Resultsmentioning

confidence: 99%

“…Using the DCP or Retinex technology cannot accurately estimate the thickness of sandstorms. Compared with the methods in [16], [17] and [30], the proposed method can restore the clarity of the sandstorm-degraded image well, as shown in Figs. 2(h)-5(h).…”

Section: A Subjective Evaluationmentioning

confidence: 90%

“…As shown in Figs. 2-5, images restored via the methods of He et al [30], Alluhaidan [17], Li et al [16], Fu et al [19], Yang et al [21], Shi et al [3] and the proposed method were measured through visual evaluation of four sandstorm images titled ''road,'' ''driveway,'' ''metropolis,'' and ''edifice.'' During sandstorm weather conditions, captured images usually exhibit significant color deviation effects and inconsistent distributions of the RGB color channels due to most of the blue light being scattered and absorbed under sandstorm weather conditions.…”

Section: A Subjective Evaluationmentioning

confidence: 99%

“…, the image processed by the algorithms in [16], [17], and [30] is still covered by sandstorm particles in the atmosphere, and there is a serious problem of color deviation, which does not achieve a satisfactory recovery effect. The reason for this phenomenon is that most of the blue light is scattered and absorbed in sandstorm weather conditions.…”

Section: A Subjective Evaluationmentioning

confidence: 99%

“…Using the geometric framework for analyzing the chromatic effects of atmospheric scattering, [14], [15] studied the geometric constraints of atmospheric conditions on scene color change, the geometric constraints of atmospheric conditions on scene color change were derived, and the scene color was restored by using these constraints. The recovery method based on the Retinex model [16], [17] and Li et al [16] proposed a new optimization function for regularization conditions of illumination and reflectivity based on the robust Retinex model.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Blue Channel and Fusion for Sandstorm Image Enhancement

et al. 2020

View full text Add to dashboard Cite

Due to the scattering and absorption of light by sandstorm particles, images taken in sandstorm environments have low contrast, color distortion and other degradation problems, which seriously affect outdoor computer vision systems. In this paper, we propose a novel method to enhance images captured in sandstorm weather conditions. First, the method builds on the blending of two images that are directly derived from the original degraded image. Second, we use multilayer decomposition technology to enhance image details and use a blue channel and white balancing technology to restore image contrast and chromaticity. Third, we associate weight maps to improve image edge contrast. Finally, the Laplacian pyramid fusion method is used to obtain the fusion results of the sandstorm-free color correction image. The experimental results demonstrate that the proposed method can effectively restore the fade characteristics of sandstorm-degraded images and improve the clarity of the images. Experimental results via subjective and objective evaluations demonstrate that the proposed method can significantly improve images captured during sandstorm weather conditions, and the results are better than other methods.INDEX TERMS Blue channel, image fusion, multilayer decomposition, sandstorm-degraded image.

show abstract