A fusion-based enhancing method for weakly illuminated images
Autor: | Xueyang Fu, Yue Huang, Xinghao Ding, John Paisley, Yinghao Liao, Delu Zeng |
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Rok vydání: | 2016 |
Předmět: |
business.industry
media_common.quotation_subject Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Image processing 02 engineering and technology Sigmoid function Backlight Weighting Image (mathematics) Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Contrast (vision) 020201 artificial intelligence & image processing Computer vision Adaptive histogram equalization Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Software media_common Mathematics |
Zdroj: | Signal Processing. 129:82-96 |
ISSN: | 0165-1684 |
DOI: | 10.1016/j.sigpro.2016.05.031 |
Popis: | We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques. First, we employ an illumination estimating algorithm based on morphological closing to decompose an observed image into a reflectance image and an illumination image. We then derive two inputs that represent luminance-improved and contrast-enhanced versions of the first decomposed illumination using the sigmoid function and adaptive histogram equalization. Designing two weights based on these inputs, we produce an adjusted illumination by fusing the derived inputs with the corresponding weights in a multi-scale fashion. Through a proper weighting and fusion strategy, we blend the advantages of different techniques to produce the adjusted illumination. The final enhanced image is obtained by compensating the adjusted illumination back to the reflectance. Through this synthesis, the enhanced image represents a trade-off among detail enhancement, local contrast improvement and preserving the natural feel of the image. In the proposed fusion-based framework, images under different weak illumination conditions such as backlighting, non-uniform illumination and nighttime can be enhanced. HighlightsA fusion-based method for enhancing various weakly illuminated images is proposed.The proposed method requires only one input to obtain the enhanced image.Different mature image processing techniques can be blended in our framework.Our method has an efficient computation time for practical applications. |
Databáze: | OpenAIRE |
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