应用光学, 2018, 39 (1): 57, 网络出版: 2018-03-15   

基于低照度三基色图像去噪及融合彩色图像增强方法研究

Color image enhancement based on LLL tricolor image denoising and fusion
作者单位
陆军炮兵防空兵学院,安徽 合肥 230031
摘要
现有的各类彩色图像增强方法,主要用于对光照不均匀或弱光条件下已获取的彩色图像进行直接增强,而低照度彩色成像系统获取的彩色图像是由单独采集的三基色图像融合而成。为此提出了基于低照度三基色图像去噪及融合彩色图像增强方法。利用小波变换对低照度条件下独立采集的三基色图像进行去噪;然后将去噪后图像融合成彩色图像,将彩色图像由RGB颜色空间转换为HSV颜色空间;在HSV空间对V进行MSR增强,再对增强后的图像进行S调整;最后再将其转换回RGB颜色空间。采用客观评价方法对选取的去噪增强后图像进行了评价。结果表明:经过去噪和增强后的彩色图像在均值、方差和熵3项指标上均优于三基色直接融合的彩色图像,平均提高幅度为均值11.37%、方差8.46%、信息熵0.44%。该方法可移植到低照度彩色成像系统中,对成像质量的提升具有指导意义。
Abstract
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.

吴海兵, 张良, 顾国华, 陶海军, 宁全利. 基于低照度三基色图像去噪及融合彩色图像增强方法研究[J]. 应用光学, 2018, 39(1): 57. 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.

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