Viterbi Faculty of Electrical Engineering, Technion
Color and Multi-Spectral Sensing Using a Coded Aperture Camera
Hyperspectral imaging allows measuring the spectrum of each pixel in the image of a scene. This modality has diverse applications, ranging from agriculture and geoscience, to biomedical imaging and surveillance. However, most existing methods require dedicated cameras, which make use of extra optical elements (prisms, fibers, lenslet arrays, etc.). These solutions are often expensive and cumbersome to deploy in many settings. In this work, we introduce a simple hyperspectral imaging approach, which uses a conventional camera without any special optical components. Our method exploits the fact that different wavelengths have different Point Spread Functions (PSFs), and thus experience different blurs. We prove that this cue alone is insufficient for fully recovering the spectrum of each pixel, even if the locations of edges in the (sharp) image are precisely known. Yet, we show that if the spectrum at some of the pixels is known, then the inherent ambiguity can be fully resolved. Our approach thus consists of holding a black mask in front of the object we wish to image. Our algorithm automatically detects the black pixels corresponding to the mask, and uses their known spectrum to estimate the spectra of all other pixels. Extensive simulations confirm the flexibility and effectiveness of our method. * MSc seminar under supervision of Prof. Michaeli Tomer .
Date: Tue 21 May 2019
Start Time: 11:30
End Time: 12:30
1061 | Electrical Eng. Building