得益于对图像技术多年的深入研究和持续投入，数字图像在空间、频域和时域的保真度一直稳步提升，现在已经可以赶上甚至超过传统胶卷。但是无论传感技术如何发展，总会有一些令人兴奋的新应用要求更高的图像精度。医药、空间、工程和科学领域的研究人员总是渴望得到更小尺度、更精确的图像细节。由于传感器件自身的保真能力受到物理定律的严格限制，所以用户不能指望仅仅靠传感器本身达到这些成像要求。而通过信号处理技术从算法上提高传感器件的成像精度已经并且将会在图像与视频处理以及机器视觉领域扮演重要的角色。介绍了高保真图像与视频处理领域的一些技术难题，并回顾了已经存在的和正在兴起的解决这些难题的科学方法和技术手段。

Through years of intensive research and heavy investment in imaging technologies， spatial， spectral and temporal fidelities of digital images are steadily improving and now can match and even exceed those of traditional film. However， no matter how much sensor technologies advance， new， more exciting and exotic applications will always present themselves that demand even higher image precision. Researchers in medicine， space， engineering and sciences all have insatiable desire for imaging ever more minuscule and subtle details. Users cannot solely count on raw sensor capability to satisfy their needs. There exist hard physical limits on native fidelity of imaging devices. Therefore， signal processing techniques to algorithmically improve native sensor precision are and will be playing an important role in the fields of image and video processing and computer vision.In this talk， we will examine challenging technical problems in the field of high-fidelity image/video processing， and review scientific and engineering approaches， both established and emerging， to overcoming these technical challenges.