A Systematic SC-Based Methodology for Super-Resolution of Video Sequences

摘要：

This paper considers the use of soft computing methods in solving the problem of super-resolution, i.e. the reconstruction of a high-resolution image from a series of low-resolution video frames. By means of carefully selected juxtaposition of frame expansion, registration, re-mapping and fusion techniques, it is possible to obtain a high-quality high-resolution image summarizing a given video stream. A hybrid evolutionary algorithm used in the enlargement process is shown to contribute much to the overall acceptability of the super-resolved result. Our superresolving system is self-contained. Each component operator and each process is well delineated and easy to code. The applicability of the proposed system is shown by experimental results.

作者: Noel Mendoza Yen-Wei Chen Jeng Shyang Pan

作者单位: Electronics and Electrical Engineering Dept.Faculty of Engineering, University of the Ryukyus 1 Senb Electronics Engineering Dept.National Kaobsiung University of Applied Sciences 415 Chien Rung Road,

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 523-528

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）