摘要
在现实工业场景中,由于多种原因,现实图像中的数据均会带有噪声数据。噪声数据不仅使图像变得模糊,同时影响了图像数据质量,甚至淹没主要的信息和关键的特征。为了去除噪声保留有效信息,现有的方式容易引起图像数据的边缘信息模糊和图像细节信息损害或丢失,尤其是高密度图像容易导致纹理细节丢失。传统单一的图像去噪技术难以处理复杂的图像噪声,同时处理效果也不理想。基于此,采用混合式去噪应用技术研究,先进行图像密度判断,再根据判断的结果合理选择去噪算法,形成复合式应用效果,以此提升图像数据应用效果。
In real-world industrial scenarios,due to various reasons,data in real-world images may contain noisy data.Noise data not only makes images blurry,but also affects the quality of image data,and even overwhelms the main information and joint features.In order to remove noise and preserve effective information,existing methods can easily cause blurring of edge information and damage or loss of image details,especially high-density ones that can easily lead to loss of texture details.Therefore,in order to maximize the removal of noise and preserve the effective information of image data,traditional single image denoising techniques are difficult to handle complex image noise,and the processing effect is also not ideal.Based on this,this paper adopts hybrid denoising application technology research,and first conducts image density judgment.Based on the judgment results,reasonable denoising algorithms are selected to form a composite application effect,thereby improving the application effect of image data.
出处
《工业控制计算机》
2025年第4期96-97,100,共3页
Industrial Control Computer
基金
贵州省科技支撑项目(黔科合支撑[2023]一般323)资助
贵州省科技支撑项目(黔科合支撑[2024]一般059)资助
合肥市科技创新人才团队培养计划项目(遵市科人才[2022]6号)资助。
关键词
图像数据
混合式
去噪技术
image data
hybrid
noise reduction technology
