OPENCAM:无镜头光学加密摄像机

IF 4.2 2区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Salman S. Khan;Xiang Yu;Kaushik Mitra;Manmohan Chandraker;Francesco Pittaluga
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引用次数: 0

摘要

无透镜相机在传感器记录入射光之前,会对其进行多路复用。这种复用入射光的能力促进了超薄、高速和单次拍摄 3D 成像仪的发展。最近,人们尝试展示无镜头相机的另一个有用方面,即通过捕捉加密测量数据来保护场景隐私的能力。然而,现有的无镜头相机设计存在许多固有的隐私漏洞。为了证明这一点,我们开发了第一个针对加密摄像机的综合攻击模型,并提出了 OpEnCam--一种新型无镜头光学加密摄像机设计,它克服了这些漏洞。OpEnCam 利用光学掩膜的调制能力,在捕捉入射光之前对其进行加密。只有获得由每个摄像头的独特光学元件定义的摄像头加密密钥,才能从 OpEnCam 测量中恢复原始场景。与现有的无镜头相机设计相比,我们的 OpEnCam 设计有两大改进--(a) 使用两个同轴光学掩膜,一个贴在传感器上,另一个在传感器上方几毫米处;(b) 掩膜图案的设计是从信号处理思想中启发式得出的。我们通过实验证明,OpEnCam 能够抵御各种类型的攻击,同时仍能保持现有无镜头相机的成像能力。我们利用模拟和真实数据验证了 OpEnCam 的功效。最后,我们在实验室建立并测试了一个原型,以验证概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OpEnCam: Lensless Optical Encryption Camera
Lensless cameras multiplex the incoming light before it is recorded by the sensor. This ability to multiplex the incoming light has led to the development of ultra-thin, high-speed, and single-shot 3D imagers. Recently, there have been various attempts at demonstrating another useful aspect of lensless cameras - their ability to preserve the privacy of a scene by capturing encrypted measurements. However, existing lensless camera designs suffer numerous inherent privacy vulnerabilities. To demonstrate this, we develop the first comprehensive attack model for encryption cameras, and propose OpEnCam – a novel lensless optical en cryption ca mera design that overcomes these vulnerabilities. OpEnCam encrypts the incoming light before capturing it using the modulating ability of optical masks. Recovery of the original scene from an OpEnCam measurement is possible only if one has access to the camera's encryption key, defined by the unique optical elements of each camera. Our OpEnCam design introduces two major improvements over existing lensless camera designs - (a) the use of two co-axially located optical masks, one stuck to the sensor and the other a few millimeters above the sensor and (b) the design of mask patterns, which are derived heuristically from signal processing ideas. We show, through experiments, that OpEnCam is robust against a range of attack types while still maintaining the imaging capabilities of existing lensless cameras. We validate the efficacy of OpEnCam using simulated and real data. Finally, we built and tested a prototype in the lab for proof-of-concept.
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来源期刊
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging Mathematics-Computational Mathematics
CiteScore
8.20
自引率
7.40%
发文量
59
期刊介绍: The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.
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