Wu Haibing, Zhang Liang, Gu Guohua, Tao Haijun, Ning Quanli. Color image enhancement based on LLL tricolor image denoising and fusion[J]. Journal of Applied Optics, 2018, 39(1): 57-63. DOI: 10.5768/JAO201839.0102003
Citation: Wu Haibing, Zhang Liang, Gu Guohua, Tao Haijun, Ning Quanli. Color image enhancement based on LLL tricolor image denoising and fusion[J]. Journal of Applied Optics, 2018, 39(1): 57-63. DOI: 10.5768/JAO201839.0102003

Color image enhancement based on LLL tricolor image denoising and fusion

  • The existing color image enhancement methods are mainly used for directly enhancing color images obtained under the condition of uneven illumination or low light, and color images acquired by low-light-level(LLL) color imaging system are obtained by separately collecting tricolor images fused.According to this, a method is proposed to improve color image enhancement based on LLL tricolor image denoising and fusion. Firstly the LLL tricolor image is denoised by using wavelet transform and fused into a color image, then the color image is transformed from RGB color space to HSV color space.Secondly V is enhanced with MSR in HSV space and the enhanced image is adjusted by S. Finally it is converted back to RGB color space. This denoised and enhanced image is evaluated by objective evaluation method. Results show that this denoised and enhanced image is better than that of the tricolor image fused directly, and average increase rate of average value, variance and information entropy are 11.37%, 8.46% and 0.44% respectively. The method can be transplanted into LLL color imaging system, which has strong guiding significance for improvement of image quality.
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