Collaborative and compressive high-resolution imaging

Yanning Zhang, Haichao Zhang, Thomas S. Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

We present a novel collaborative and compressive high-resolution image acquisition method in this paper. The proposed approach acquires several coded low resolution observations via the designed image formation process. The imaging process is achieved via random convolution followed with subsampling, which is practical for hardware implementation. The latent high resolution image is recovered via a joint optimization scheme in a collaborative manner. An efficient optimization algorithm is developed for recovering the latent high-resolution image. Experimental results compared with several related imaging schemes have clearly demonstrated the effectiveness of the propose method.

源语言英语
主期刊名ICPR 2012 - 21st International Conference on Pattern Recognition
3062-3065
页数4
出版状态已出版 - 2012
活动21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, 日本
期限: 11 11月 201215 11月 2012

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

会议

会议21st International Conference on Pattern Recognition, ICPR 2012
国家/地区日本
Tsukuba
时期11/11/1215/11/12

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