摘要
噪声是影响图像质量和视觉效果最主要原因之一,是影响图像处理的主要干扰因素之一。针对图像中因环境、拍摄影响造成的周期噪声和高斯噪声问题展开研究。首先将原始图像数值化,获取其RGB空间;其次将其转换到YCbCr空间,截取空间通道的X截面。运用N阶巴特沃斯陷波滤波器模型进行去噪,消除周期噪声同时也有效避免振铃效应,构建高斯滤波器模型消除部分高斯噪声,并结合约束最小二乘滤波器将分布较广的高斯噪声进一步去除。
Noise is one of the most important factors affecting image quality and visual effects and one of the main interference factors that affect im⁃age processing.This paper researches on the periodic noise and Gaussian noise caused by the environment and shooting effects in the im⁃age.First,the original image is digitized to obtain its RGB space;secondly,the image is converted from RGB space to YCbCr space,and the X-section of the YCbCr space channel is intercepted.The N-order Butterworth notch filter model is used for denoising,which elimi⁃nates the periodic noise and effectively avoids the ringing effect.Regarding the image Gaussian noise,a Gaussian filter model is construct⁃ed to eliminate part of the Gaussian noise,and combined with the constrained least squares filter to further remove the widely distributed Gaussian noise.
作者
章原发
张京晶
高婕
ZHANG Yuan-fa;ZHANG Jing-jing;GAO Jie(Unit 91053 of PLA,Beijing 100070;Army Engineering University of PLA,Nanjing 210001)
出处
《现代计算机》
2020年第31期58-63,共6页
Modern Computer
