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arXiv 1306.39462013-06cs.ITcs.CVmath.IT

无透镜压缩成像中的多视点

Multi-view in Lensless Compressive Imaging

Bell Labs, Alcatel-Lucent（贝尔实验室，阿尔卡特朗讯）

Hong Jiang, Gang Huang, Paul Wilford

备注：: Accepted for presentation at PCS 2013 as Paper #1021; 4 pages, 4 figures. arXiv admin note: text overlap with arXiv:1302.1789

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摘要：

多视角图像是由一个无透镜压缩成像架构，它包括一个光圈组件和多个传感器。孔径组件由孔径元件的二维的阵列组成，孔径元件的透射率可以被单独控制以实现压缩感测矩阵。对于孔组件的每个透射图案，每个传感器进行测量。来自多个传感器的测量向量表示同一场景的多视图图像。我们提出了多视图重建的理论框架和实验结果，提高图像质量，使用多视图。

英文摘要：

Multi-view images are acquired by a lensless compressive imaging architecture, which consists of an aperture assembly and multiple sensors. The aperture assembly consists of a two dimensional array of aperture elements whose transmittance can be individually controlled to implement a compressive sensing matrix. For each transmittance pattern of the aperture assembly, each of the sensors takes a measurement. The measurement vectors from the multiple sensors represent multi-view images of the same scene. We present theoretical framework for multi-view reconstruction and experimental results for enhancing quality of image using multi-view.

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