Multidimensional signal processing for visual and multimedia services

视觉数据，以不同类型的图像形式，仍然是消费者和专业人士最丰富的信息来源之一。随着通信服务和网络以及支持图像的设备的进步，基于图像的服务近年来已经普及，特别是那些利用Internet和无线网络的服务。然而，许多这些服务的质量、真实感和响应能力仍然不足，特别是对于非常高分辨率的图像和三维环境。该研究计划的总体目标是开展新的多维信号处理技术的研究，这些技术可以应用于增强视觉通信和多媒体系统的开发。将探讨三个主要主题：多维信号处理理论；彩色图像处理与渲染；以及全方位和高分辨率的图像和视频处理。具体研究课题包括：针对不同类型的图像和视频（包括全向图像）的新的更有效的多维表示；彩色图像处理的新方法，用于数码相机和彩色显示器等；沉浸式远程呈现应用的立体全方位成像系统设计最后，视频信号上转换的方法，如HDTV到超高清tv的转换。在所有情况下，目标都是开发新的基本理论，从而比现有方法带来更高的质量和/或更有效的实施。接受培训的学生将获得图像和视频处理方面的高价值技能，包括软件开发。在现代世界的各个领域，包括商业、消费电子和个人通信，成像变得无处不在。因此，这些领域的所有行业都强烈需要具有成像和相关领域技能的人员。

Visual data, in the form of diverse types of imagery, remains one of the richest sources of information for both consumers and professionals. With advances in communications services and networks, and image-enabled devices, image-based services have become pervasive in recent years, especially those making use of the Internet and wireless networks. However, many of these services still offer inadequate quality, realism and responsiveness, especially for very high-resolution imagery and three-dimensional environments. The general objective of this research program is to carry out research on new multidimensional signal processing techniques that can be applied to the development of enhanced visual communications and multimedia systems. Three main themes will be pursued: multidimensional signal processing theory; color image processing and rendering; and omnidirectional and high-resolution image and video processing. The specific topics to be researched include: new more efficient multidimensional representations for different types of images and videos, including omnidirectional images; new methods for color image processing, for applications in digital cameras and color displays, among others; design of stereoscopic omnidirectional imaging systems for immersive telepresence applications; and finally, methods for video signal upconversion, such as HDTV to super HDTV conversion. In all cases, the goal is to develop fundamental new theories that lead to higher quality and/or more efficient implementation than current methods. The students trained will acquire high-value skills in image and video processing, including software development. Imaging is becoming ubiquitous in the modern world in all sectors, including business, consumer electronics and personal communications. Thus, all industries in these sectors have a strong need for personnel with skills in imaging and related fields.