CAREER: Models and Representations for Digital Images and Video

与信息网络连接的增加和高带宽链路的广泛使用，预计将大大增加人们对提供非常高质量和先进的处理和压缩选择的数字图像和视频应用程序的兴趣。这项研究旨在通过为数字图像和视频提供更准确的表示、建模、处理和压缩来满足这一需求。主要目标是开发本地化的、多分辨率的模型，并设计相关的估计、优化和处理策略。所开发的技术专门针对描述自然场景的数字图像和视频，其特征是局部奇点在相机平面上分隔均匀平滑/纹理的区域。奇点的统计多分辨率模型与全局优化技术相结合构成了研究轨道的基础。开发的技术被用于各种应用，包括压缩、丢失数据估计、噪声去除、分割和分辨率增强。这项研究的结果预计将对各种领域产生影响，如无线通信和互联网上的多媒体应用。现代工程教育涉及许多课程，这些课程假定学生熟悉详细的技术背景材料。这其中的教育部分旨在通过允许学生以自己的速度增强他们的学习体验来解决学生背景的显著差异。教育目标包括开发计算机化的多媒体辅助课程材料，包括具有丰富注释的问题和范例解决方案。预期将这一材料扩展到远程学习者，包括通过信息网络扩展到更广泛的学习者社区。

Increased connectivity to information networks and the widespread availability of high bandwidth links are expected to result in much increased interest in digital image and video applications providing very high quality and advanced processing and compression options. This research is geared toward addressing this need by providing more accurate representations, modeling, processing and compression for digital images and video. The main objective is the development of localized, multiresolutional models and the design of related estimation, optimization, and processing strategies. The developed techniques are specifically targeted at digital images and video depicting natural scenes, which are characterized by localized singularities separating regions of uniform smoothness/texture in the camera plane. Statistical multiresolutional models for the singularities combined with global optimization techniques constitute the foundations of the research track. The developed techniques are utilized in a variety of applications including compression, estimation of missing data, noise removal, segmentation and resolution enhancement. The results of this research are expected to have an impact in a variety of areas, such as wireless communications and multimedia applications over the Internet. Modern engineering education involves many courses that assume students are familiar with detailed technical background material. The educational component of this is geared toward addressing significant variations in student background by allowing the students to enhance their learning experience at their own pace. Educational objectives include the development of computerized, multimedia assisted course material, including problems and example solutions with rich annotations. Extensions of this material to distance learners, including outreach to broader communities of learners over information networks, are expected.