This project is going to use online health information to arouse public understanding heart disease and their risk of having heart disease.Consequently,people can prevent the risk of suffering in this chronic disease.This project collected heart disease information from Internet and library.The information are organized and become the content of the website to provide health information online.The information of definition of heart disease,types of heart disease,symptom of heart diseases,recommendations of heart disease and causes of heart disease are gathered and summarized into the main content of the website.There are three risk of having heart disease interactive calculators been developed and providing recommendation for the user.The website suggests some recommended heart disease websites for user to find more heart disease information.
单幅图像超分辨率是近几十年来计算机视觉领域的一个重要研究课题,基于深度学习的超分辨率重建算法已经取得突破性进展,但当大多数算法应用到真实场景中的图像时效果会大大降低,出现严重模糊、振铃效应等。在此背景下越来越多研究人员致力于研究真实场景下的图像超分辨率算法(real-world single image super-resolution,RSISR)。聚焦于真实场景下图像超分辨率重建算法,介绍了常用公共图像数据集和图像评估指标,从基于外部数据集SR方法和基于内部数据集SR方法两大方向分析对比了各种方法的特点、性能和不足。讨论了RSISR存在的困难和挑战,并对未来的发展趋势进行了思考与展望。
