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access icon free Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand–dust image enhancement

  • Author(s): Zhenghao Shi 1 ; Yaning Feng 1 ; Minghua Zhao 1 ; Erhu Zhang 2 ; Lifeng He 3
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  • Source: Volume 14, Issue 4, 27 March 2020, p. 747 – 756
    DOI:  10.1049/iet-ipr.2019.0992 , Print ISSN 1751-9659, Online ISSN 1751-9667
© The Institution of Engineering and Technology
Received 30/07/2019, Accepted 07/11/2019, Revised 26/10/2019, Published 18/11/2019

Images captured in the sand–dust weather often suffer from serious colour cast and poor contrast, and this has serious implications for outdoor computer vision systems. To address these problems, a normalised gamma transformation-based contrast-limited adaptive histogram equalisation (CLAHE) with colour correction in Lab colour space for sand–dust image enhancement is proposed in this study. This method consists of image contrast enhancement and image colour correction. To avoid producing new colour deviation, the input sand–dust images are first transformed from red, green, and blue colour space into Lab colour space. Then, the contrast of the lightness component (L channel) of the sand–dust image is enhanced using CLAHE. To avoid unbalanced contrast, as well as to reduce the overincreased brightness caused by CLAHE, a normalised gamma correction function is introduced to CLAHE. After that, the a and b chromatic components are recovered by a grey-world-based colour correction method. Experiments on real sand–dust images demonstrate that the proposed method can obtain the highest percentage of new visible edges for all testing images. The contrast restoration exhibits good colour fidelity and proper brightness.

Inspec keywords: computer vision; image enhancement; dust; image colour analysis; image segmentation; sand

Other keywords: green colour space; image contrast enhancement; normalised gamma transformation-based contrast-limited adaptive histogram equalisation; blue colour space; sand–dust image enhancement; contrast restoration; image colour correction; colour deviation; red colour space; testing images; CLAHE; grey-world-based colour correction method; sand–dust weather; normalised gamma correction function; colour fidelity; serious colour cast; unbalanced contrast; Lab colour space; input sand–dust images

Subjects: Optical, image and video signal processing; Computer vision and image processing techniques

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