Sparse reconstruction for omnidirectional image based on total variation

被引：0
|
作者：
机构：
[1] College of Information System and Management, National University of Defense Technology, Changsha
来源：
Lou, J.-T. (loujt_1984@126.com) | 1600年 / Chinese Institute of Electronics卷 / 42期
关键词：
Catadioptric omnidirectional imaging; Compressed sensing; Image reconstruction; TV norm;
D O I：
10.3969/j.issn.0372-2112.2014.02.006
中图分类号：
学科分类号：
摘要：
Because of the distortions produced by the reflection of a mirror, catadioptric omnidirectional images cannot be processed similarly to classical perspective images. In this paper, we propose to define a new model named omnidirectional total variation (Omni-TV), which reflects the omnidirectional image structure features. In order to reconstruct the images from compressive samples, the Omni-TV is used as the subject function during the image reconstruction. The simulation results show that the omnidirectional images could be reconstructed effectively and accurately. Comparing with classical TV minimization model, the images, which are recovered based on Omni-TV model, can provide higher quality both in subjective evaluation and objective evaluation.
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页码：243 / 249
页数：6
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