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Journal ArticleDOI

Split Aperture Imaging for High Dynamic Range

TLDR
This paper describes a camera design for simultaneously acquiring multiple images and implemented a video-rate camera based on this design, and the results obtained are presented.
Abstract
Most imaging sensors have limited dynamic range and hence are sensitive to only a part of the illumination range present in a natural scene. The dynamic range can be improved by acquiring multiple images of the same scene under different exposure settings and then combining them. In this paper, we describe a camera design for simultaneously acquiring multiple images. The cross-section of the incoming beam from a scene point is partitioned into as many parts as the required number of images. This is done by splitting the aperture into multiple parts and directing the beam exiting from each in a different direction using an assembly of mirrors. A sensor is placed in the path of each beam and exposure of each sensor is controlled either by appropriately setting its exposure parameter, or by splitting the incoming beam unevenly. The resulting multiple exposure images are used to construct a high dynamic range image. We have implemented a video-rate camera based on this design and the results obtained are presented.

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Citations
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Proceedings ArticleDOI

Gradient domain high dynamic range compression

TL;DR: The results demonstrate that the method is capable of drastic dynamic range compression, while preserving fine details and avoiding common artifacts, such as halos, gradient reversals, or loss of local contrast.
Proceedings ArticleDOI

A versatile HDR video production system

TL;DR: This work presents an optical architecture for HDR imaging that allows simultaneous capture of high, medium, and low-exposure images on three sensors at high fidelity with efficient use of the available light and presents an HDR merging algorithm to complement this architecture.
Journal ArticleDOI

Gradient-Directed Multiexposure Composition

TL;DR: A simple yet effective method that takes advantage of the gradient information to accomplish the multiexposure image composition in both static and dynamic scenes and develops two novel quality measures based on the observations of gradient changes among different exposures.
Patent

Methods and apparatus for rich image capture with focused plenoptic cameras

TL;DR: A radiance camera employs focused plenoptic camera technology and includes sets of modulating elements that may be used to modulate the sampling of different aspects of the range of plensoptic data as discussed by the authors.
Book

Color Imaging: Fundamentals and Applications

TL;DR: In this article, color theory is explained from its origin to the current state of the art, including image capture and display as well as the practical use of color in disciplines such as computer graphics, computer vision, photography, and film.
References
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Proceedings ArticleDOI

Recovering high dynamic range radiance maps from photographs

TL;DR: This work discusses how this work is applicable in many areas of computer graphics involving digitized photographs, including image-based modeling, image compositing, and image processing, and demonstrates a few applications of having high dynamic range radiance maps.
Proceedings ArticleDOI

Enhanced image capture through fusion

TL;DR: The authors present an extension to the pyramid approach to image fusion that provides greater shift invariance and immunity to video noise, and provides at least a partial solution to the problem of combining components that have roughly equal salience but opposite contrasts.
Proceedings ArticleDOI

Radiometric self calibration

TL;DR: A simple algorithm is described that computes the radiometric response function of an imaging system, from images of an arbitrary scene taken using different exposures, to fuse the multiple images into a single high dynamic range radiance image.
Journal ArticleDOI

Radiometric CCD camera calibration and noise estimation

TL;DR: Using physical models for charged-coupled device (CCD) video cameras and material reflectance, the variation in digitized pixel values that is due to sensor noise and scene variation is quantify.
Proceedings ArticleDOI

High dynamic range imaging: spatially varying pixel exposures

TL;DR: In this article, an optical mask is placed adjacent to a conventional image detector array to sample the spatial and exposure dimensions of image irradiance, and then the mask is mapped to a high dynamic range image using an efficient image reconstruction algorithm.