Visibility improvement of hazy images using manipulation of convex combination coefficients of equi-hue planes’ vertices in the RGB color space

Images captured in foggy or hazy environments exhibit whitening and reduced contrast. Various methods have been proposed to enhance the visibility of hazy images with degraded quality. However, these conventional methods may cause degradation of the resultant image, such as unnatural color changes and artifacts. To address this problem, we propose a haze-removal method for image visibility improvement using manipulation of convex combination coefficients of equi-hue planes’ vertices, which correspond to white, black, and pure colors in the RGB color space. The proposed method begins with a pre-processing step involving contrast enhancement of the lightness component using a multi-scale image enhancement method with S-shaped functions. Then, for saturation enhancement, the convex combination coefficients of white are reduced, and those of pure colors are increased in the lightness-enhanced image to achieve haze removal. Experiments were conducted using real hazy images and artificially synthesized images, and the effectiveness of the proposed method was verified by comparison with conventional methods. The experimental results demonstrate that the proposed method effectively enhances the visibility of hazy images while minimizing unnatural color changes and artifacts.

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Publication Details

Journal
Signal Image and Video Processing
Published
2024-12-04
DOI
https://doi.org/10.1007/s11760-024-03578-3
Citations
1
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.25
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article

Visibility improvement of hazy images using manipulation of convex combination coefficients of equi-hue planes’ vertices in the RGB color space

Mashiho Mukaida, Noriaki Suetake, Takanori Koga
1 citations
Signal Image and Video Processing
Image Enhancement Techniques
0.25
article

Visibility improvement of hazy images using manipulation of convex combination coefficients of equi-hue planes’ vertices in the RGB color space

Mashiho Mukaida, Noriaki Suetake, Takanori Koga
article en
1 citations

Abstract

Images captured in foggy or hazy environments exhibit whitening and reduced contrast. Various methods have been proposed to enhance the visibility of hazy images with degraded quality. However, these conventional methods may cause degradation of the resultant image, such as unnatural color changes and artifacts. To address this problem, we propose a haze-removal method for image visibility improvement using manipulation of convex combination coefficients of equi-hue planes’ vertices, which correspond to white, black, and pure colors in the RGB color space. The proposed method begins with a pre-processing step involving contrast enhancement of the lightness component using a multi-scale image enhancement method with S-shaped functions. Then, for saturation enhancement, the convex combination coefficients of white are reduced, and those of pure colors are increased in the lightness-enhanced image to achieve haze removal. Experiments were conducted using real hazy images and artificially synthesized images, and the effectiveness of the proposed method was verified by comparison with conventional methods. The experimental results demonstrate that the proposed method effectively enhances the visibility of hazy images while minimizing unnatural color changes and artifacts.

Signal Image and Video ProcessingVol. 19(1)
Kagoshima University (JP), Yamaguchi University (JP), Kindai University (JP)
Climate action
Openalex Percentile: Top 44%
Image Enhancement Techniques
0.25
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