摘要
医学图像、遥感图像等图像受到成像设备等因素的限制,一般分辨率较低。为得到高质量的高分辨率图像,提出了对低分辨率图像采用NEDI插值方法提高图像的分辨率,利用高斯滤波器进一步对高分辨率图像去噪的算法。将该算法应用于灰度图像的分辨率提升后,不仅获得了边缘较为清晰的图像,同时有效地抑制了边缘噪声,图像视觉质量较好。
Restricted by imaging equipment,human interference and other factors,most images have low resolution.In order to obtain high⁃quality high⁃resolution images,an algorithm is given to improve the resolution of images by using NEDI interpolation method for low⁃resolution images,and further denoising the high⁃resolution images by using Gaussian filter.After applying the algo⁃rithm to the resolution improvement of gray scale images,not only the images with clearer edges are obtained,but also the edge noise is effectively suppressed,and the visual quality of the images is better.
作者
刘文宇
郝慧艳
郭楠
张志伟
Liu Wenyu;Hao Huiyan;Guo Nan;Zhang Zhiwei(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
出处
《现代计算机》
2024年第7期54-58,共5页
Modern Computer
基金
山西省留学回国人员科技活动择优资助项目(20210039)
山西省回国留学人员科研资助项目(2022⁃146)
生物医学成像与影像大数据山西省重点实验室开放基金项目。
关键词
图像插值
图像去噪
NEDI插值
image interpolation
image denoising
NEDI interpolation
