摘要
为提高低照度图像的对比度并改进动态直方图均衡化算法的不足,在亮度校正上,提出基于直方图“分布范围”的分割技术和重映射区间分配方法,用去噪阈值优化直方图分布范围的计算;在控制对比度和保留细节信息上,提出带参数的调整量来校正直方图中的较小值,防止灰度级的合并。选取了多个低照度图像数据集进行测试,结合主客观图像质量评价可以看出,对于不同场景、不同程度的低照度图像,所提算法都有良好的增强效果,图像细节信息丰富。
To improve the contrast of low-illumination image and improve the drawback of dynamic histogram equalization algorithm,in terms of brightness correction,a segmentation technique and a reallocation method of mapping interval based on histogram distribution range were proposed,and the calculation of histogram distribution range was optimized by denoising thres-hold.In terms of contrast control and details retention,an adjustment number with parameters was proposed to correct the smaller value in the histogram and prevent the merging of gray level.Several low-illumination image data sets are selected for testing,combined with subjective and objective image quality evaluation,it can be seen that for different scenes,different levels of low-illuminance images,the proposed algorithm had good enhancement effects and more details.
作者
杨嘉能
李华
田宸玮
钱育蓉
YANG Jia-neng;LI Hua;TIAN Chen-wei;QIAN Yu-rong(School of Software,Xinjiang University,Urumqi 830046,China)
出处
《计算机工程与设计》
北大核心
2021年第5期1264-1270,共7页
Computer Engineering and Design
基金
国家自然科学基金项目(61966035)
国家自然科学基金联合基金项目(U1803261)
自治区研究生创新基金项目(XJ2019G069)。
关键词
低照度图像
直方图均衡化
动态直方图
直方图校正
对比度增强
low-illumination image
histogram equalization
dynamic histogram
histogram correction
contrast enhancement
