CAJ | 학술논문

由于采集环境和设备的限制,监控视频中如人脸等重要目标区域面积较小,插值放大技术会使得目标模糊,影响后续处理效果.本文研究单帧监控视频的超分辨率技术,处理流程分为训练和增强两个阶段.在训练阶段,通过对相关图像库的训练得到由低分辨率图像块和高分辨率图像块对构成的训练集;在增强阶段,通过输入的低分辨率图像构造搜索矢量在训练集中匹配搜索找到高分辨率信息.为了提高搜索准确率,将梯度匹配增强到搜索矢量构造过程中,从而能在训练集中找到更符合真实结构分布的高分辨率信息,提高超分辨率增强的效果.实验结果表明,该方法得到的高分辨率图像边缘更锐利,视觉效果更好.
유우채집배경화설비적한제,감공시빈중여인검등중요목표구역면적교소,삽치방대기술회사득목표모호,영향후속처리효과.본문연구단정감공시빈적초분변솔기술,처리류정분위훈련화증강량개계단.재훈련계단,통과대상관도상고적훈련득도유저분변솔도상괴화고분변솔도상괴대구성적훈련집;재증강계단,통과수입적저분변솔도상구조수색시량재훈련집중필배수색조도고분변솔신식.위료제고수색준학솔,장제도필배증강도수색시량구조과정중,종이능재훈련집중조도경부합진실결구분포적고분변솔신식,제고초분변솔증강적효과.실험결과표명,해방법득도적고분변솔도상변연경예리,시각효과경호.
In surveillance video, the area of important objects such as faces often appears to be small, for the limits of capture conditions and devices. Interpolating images usually results in a blurring of edges and image details, then it is im-possible for the tasks such as the recognition of faces. This paper presents the technique of super-resolution in surveillance scenarios, the process of which includes training and enhancing. In the training phase, we get the training data which are made up of low-frequency patches and high-frequency patches. In the enhancing phase, we construct the search vector from the low-resolution image patch and get the high resolution information from the training data through matching. In order to improve the veracity of searching, we introduce the gradient matching to construct the search vector, so we can get the most similar patches and improve the enhancing effect The experiment shows that this method preserves fine details, such as ed-ges, generates believable textures and gives good results.