摘要
针对传统直方图均衡化反差增强算法无法同时实现增强与去噪双重目标的问题,利用偏微分方程(PDE)对其进行优化,提出基于PDE的船舶数字图像反差增强优化算法。对一般直方图均衡化反差增强算法工作原理进行分析,以此为基础,利用PDE进行优化改进,将去噪方法和反差增强算法耦合在一起。结果表明,与一般直方图均衡化反差增强算法相比,应用本文优化方法,图像对比度得到保证的同时,峰值信噪比更高,实现了同时去噪和反差增强双重目标。
Aiming at the problem that the traditional histogram equalization contrast enhancement algorithm can not achieve the dual objectives of enhancement and denoising at the same time, PDE is used to optimize it, and a contrast enhancement optimization algorithm based on PDE is proposed. The research is divided into two parts: first, the principle of the general histogram equalization contrast enhancement algorithm is analyzed, then based on this, PDE is used to optimize and improve, and the denoising method and contrast enhancement algorithm are coupled together. The results show that: compared with the general histogram equalization contrast enhancement algorithm, after the application of this optimization method, the image contrast is guaranteed, while the peak signal-to-noise ratio is higher, and the dual objectives of simultaneous denoising and contrast enhancement are realized.
作者
乔丽
QIAO Li(Department of Computer Science and Technology,Luliang University,Luliang 033000,China)
出处
《舰船科学技术》
北大核心
2020年第12期88-90,共3页
Ship Science and Technology
基金
山西省级教改项目(j2019206)
关键词
PDE
船舶数字图像
反差增强
算法优化
PDE
ship digital image
contrast enhancement
algorithm optimization
