An adaptive enhancement algorithm based on visual saliency for low illumination images

In order to improve the brightness and contrast of low illumination color images and avoid over enhancement, an adaptive image enhancement algorithm based on visual saliency is proposed. Firstly, the original low illumination image is transformed from Red Green Blue (RGB) color space to Hue Saturati...

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Bibliographic Details
Published in:Applied intelligence (Dordrecht, Netherlands) Netherlands), 2022, Vol.52 (2), p.1770-1792
Main Authors: Qian, Shenyi, Shi, Yongsheng, Wu, Huaiguang, Liu, Jinhua, Zhang, Weiwei
Format: Article
Language:English
Subjects:
Adaptive algorithms
Algorithms
Artificial Intelligence
Brightness
Color imagery
Computer Science
Histograms
Illuminance
Illumination
Image contrast
Image enhancement
Machines
Manufacturing
Mechanical Engineering
Processes
Salience
Saturation (color)
Search algorithms
Visual perception
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Summary:In order to improve the brightness and contrast of low illumination color images and avoid over enhancement, an adaptive image enhancement algorithm based on visual saliency is proposed. Firstly, the original low illumination image is transformed from Red Green Blue (RGB) color space to Hue Saturation Intensity (HSI) color space. Secondly, the bilateral gamma adjustment (BIGA) function combined with the cuckoo search algorithm is used for adaptively increasing the overall brightness of image. In addition, the brightness preserving Bi-histogram construction based on visual salience algorithm (BBHCVS) is proposed to respectively conserve the brightness and improve the contrast of low illuminance color images. Finally, the processed HSI color space is transformed into RGB color space to get the enhanced image. Experimental results demonstrate that the proposed BBHCVS algorithm can effectively enhance the visual salient areas of human perception, and also significantly improve the contrast and brightness of image compared with other well-known and state-of-the-art methods.
ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-021-02466-4