Generalized Image Acquisition and Analysis

Sensor Saturation in Fourier Multiplexed Imaging

Optically multiplexed image acquisition techniques have become increasingly popular for encoding different exposures, color channels, light-fields, and other properties of light onto two-dimensional image sensors. Recently, Fourier-based multiplexing and reconstruction approaches have been introduced in order to achieve a superior light transmission of the employed modulators and better signal-to-noise characteristics of the reconstructed data. We show in this paper that Fourier-based reconstruction approaches suffer from severe artifacts in the case of sensor saturation, i.e. when the dynamic range of the scene exceeds the capabilities of the image sensor. We analyze the problem, and propose a novel combined optical light modulation and computational reconstruction method that not only suppresses such artifacts, but also allows us to recover a wider dynamic range than existing image-space multiplexing approaches.

Projects

Measuring BRDFs of Immersed Materials

Kai Berger, Ilya Reshetouski, Marcus Magnor, Ivo Ihrke
In: Proceedings of VMV 2011.



Abstract

We investigate the effect of immersing real-world materials into media of different refractive indices. We show, that only some materials follow the Fresnel-governed behaviour. In reality, many materials exhibit unexpected effects such as stronger localized highlights or a significant increase in the glossy reflection due to microgeometry. In this paper, we propose a new measurement technique that allows for measuring the BRDFs of materials that are immersed into different media.

Bibtex

@InProceedings{Berger11,
author = {Kai Berger and Ilya Reshetouski and Marcus A. Magnor and Ivo Ihrke},
title = "{Measuring BRDFs of Immersed Materials}",
booktitle = {Proceedings of VMV},
pages = "325--330",
year = {2011},
}
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