CAREER: Models and Representations for Digital Images and Video

职业：数字图像和视频的模型和表示

• 批准号: 0093179
• 负责人: Onur Guleryuz
• 金额: $ 30万
• 依托单位: Polytechnic University of New York
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0093179&HistoricalAwards=false
• 关键词: CAREER; Models; Representations; Digital; Images

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.

与信息网络的连接性的增强以及高带宽链路的广泛可用性预计将导致人们对提供非常高质量和先进的处理和压缩选项的数字图像和视频应用的兴趣大大增加。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。主要目标是开发局部多分辨率模型以及设计相关的估计、优化和处理策略。所开发的技术专门针对描绘自然场景的数字图像和视频，其特征是局部奇点分隔相机平面中均匀平滑度/纹理的区域。奇点统计多分辨率模型与全局优化技术相结合构成了研究方向的基础。所开发的技术可用于各种应用，包括压缩、丢失数据估计、噪声消除、分割和分辨率增强。这项研究的结果预计将对各个领域产生影响，例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，这些课程假设学生熟悉详细的技术背景材料。其中的教育部分旨在通过允许学生按照自己的节奏增强学习体验来解决学生背景的显着差异。教育目标包括开发计算机化、多媒体辅助的课程材料，包括带有丰富注释的问题和示例解决方案。预计该材料将扩展到远程学习者，包括通过信息网络扩展到更广泛的学习者社区。