Topic
High dynamic range
About: High dynamic range is a research topic. Over the lifetime, 4280 publications have been published within this topic receiving 76293 citations. The topic is also known as: HDR.
Papers published on a yearly basis
Papers
More filters
01 Jan 2005
TL;DR: This research proposes and shows the efficacy of a novel level set based tone mapping method that preserves visual details in the display of high dynamic range images on low dynamic range display devices.
Abstract: This dissertation focuses on the many issues that arise from the visual rendering problem. Of primary consideration is light transport simulation, which is known to be computationally expensive. Monte Carlo methods represent a simple and general class of algorithms often used for light transport computation. Unfortunately, the images resulting from Monte Carlo approaches generally suffer from visually unacceptable noise artifacts. The result of any light transport simulation is, by its very nature, an image of high dynamic range (HDR). This leads to the issues of the display of such images on conventional low dynamic range devices and the development of data compression algorithms to store and recover the corresponding large amounts of detail found in HDR images. This dissertation presents our contributions relevant to these issues.
Our contributions to high dynamic range image processing include tone mapping and data compression algorithms. This research proposes and shows the efficacy of a novel level set based tone mapping method that preserves visual details in the display of high dynamic range images on low dynamic range display devices. The level set method is used to extract the high frequency information from HDR images. The details are then added to the range compressed low frequency information to reconstruct a visually accurate low dynamic range version of the image.
Additional challenges associated with high dynamic range images include the requirements to reduce excessively large amounts of storage and transmission time. To alleviate these problems, this research presents two methods for efficient high dynamic range image data compression. One is based on the classical JPEG compression. It first converts the raw image into RGBE representation, and then sends the color base and common exponent to classical discrete cosine transform based compression and lossless compression, respectively. The other is based on the wavelet transformation. It first transforms the raw image data into the logarithmic domain, then quantizes the logarithmic data into the integer domain, and finally applies the wavelet based JPEG 2000 encoder for entropy compression and bit stream truncation to meet the desired bit rate requirement. We believe that these and similar such contributions will make a wide application of high dynamic range images possible. (Abstract shortened by UMI.)
16 citations
••
04 Jan 2006TL;DR: A system and method for automated capture of high-quality, high-range images using commercially-available digital cameras is introduced and results comparing acquisition time, image resolution, and dynamic range show these factors to compare very favorably both to traditional manual capture methods and to specialized HDRI systems developed commercially.
Abstract: In recent years, high dynamic range imaging (HDRI) has become a topic of intense research interest in the fields of computer vision, computer graphics, and commercial visualization. Yet, despite the inherent limitations of traditional low dynamic range imaging (LDRI) and the emerging need for HDRI in many applications, existing systems for HDR image capture still remain proprietary, expensive, or manually-guided. All of these factors limit the availability of effective HDRI tools, thereby restricting studies which could otherwise benefit from this technology. To help alleviate this problem, we introduce a system and method for automated capture of high-quality, high-range images using commercially-available digital cameras. We report results comparing acquisition time, image resolution, and dynamic range and show these factors to compare very favorably both to traditional manual capture methods and to specialized HDRI systems developed commercially.
16 citations
••
15 May 2011
TL;DR: This paper presents coherent OTDR employing frequency division multiplexing and frequency demultiplexing by software processing, and achieves a 100-dB dynamic range with 218 measurements at a 1-km spatial resolution.
Abstract: We present coherent OTDR employing frequency division multiplexing and frequency demultiplexing by software
processing. We improved a 5-dB dynamic range against conventional coherent OTDR, and achieved a 100-dB dynamic
range with 218 measurements at a 1-km spatial resolution.
16 citations
••
TL;DR: In this paper, a combination of one or two liquid crystal (LC) retarders was used to obtain polarimetric imaging of the skin. But the results were limited to hyperspectral imaging and spectral domain optical coherence.
Abstract: Liquid crystal (LC) devices exhibit fast and strong tuning and switching capabilities using small voltages and can be
miniaturized thus have a great potential to be used with miniature optical imaging systems for biomedical applications.
LC devices designed specifically for integration into biomedical optical imaging systems are presented. Using a
combination of one or two LC retarders we obtained polarimetric imaging of the skin. LC tunable filters with high
dynamic range and large throughput are designed for hyperspectral imaging and for spectral domain optical coherence
tomography. The designs are based on several concepts both using the classical stack of retarders and using more
modern designs based on single layer in a waveguide or in a Fabry-Perot cavity.
16 citations
•
TL;DR: In this paper, a new method for comparing frame appearance in a frame-to-model 3D mapping and tracking system using an LDR RGB-D camera which is robust to brightness changes caused by auto exposure is described.
Abstract: We describe a new method for comparing frame appearance in a frame-to-model 3-D mapping and tracking system using an low dynamic range (LDR) RGB-D camera which is robust to brightness changes caused by auto exposure. It is based on a normalised radiance measure which is invariant to exposure changes and not only robustifies the tracking under changing lighting conditions, but also enables the following exposure compensation perform accurately to allow online building of high dynamic range (HDR) maps. The latter facilitates the frame-to-model tracking to minimise drift as well as better capturing light variation within the scene. Results from experiments with synthetic and real data demonstrate that the method provides both improved tracking and maps with far greater dynamic range of luminosity.
16 citations