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
TL;DR: This paper presents a wide-bandwidth, high dynamic range, BiCMOS RF rms detector based on the dynamic translinear principle, suitable for embedded on-chip testing, particularly for "alternative test" of RF circuits.
Abstract: This paper presents a wide-bandwidth, high dynamic range, BiCMOS RF rms detector based on the dynamic translinear principle. A current-domain circuit carries out the main computation, and a circuit compensates for errors due to finite transistor gain. Wide-bandwidth input and output circuits allow connecting voltage-mode signals to the internal current-mode circuitry. Measurements on a prototype chip demonstrate that the circuit is suitable for embedded on-chip testing, particularly for "alternative test" of RF circuits.
81 citations
Posted Content•
TL;DR: ExpandNet as discussed by the authors uses a CNN to reconstruct missing information that was lost from the original signal due to quantization, clipping, tone mapping or gamma correction, and uses a multiscale architecture which avoids the use of upsampling layers to improve image quality.
Abstract: High dynamic range (HDR) imaging provides the capability of handling real world lighting as opposed to the traditional low dynamic range (LDR) which struggles to accurately represent images with higher dynamic range. However, most imaging content is still available only in LDR. This paper presents a method for generating HDR content from LDR content based on deep Convolutional Neural Networks (CNNs) termed ExpandNet. ExpandNet accepts LDR images as input and generates images with an expanded range in an end-to-end fashion. The model attempts to reconstruct missing information that was lost from the original signal due to quantization, clipping, tone mapping or gamma correction. The added information is reconstructed from learned features, as the network is trained in a supervised fashion using a dataset of HDR images. The approach is fully automatic and data driven; it does not require any heuristics or human expertise. ExpandNet uses a multiscale architecture which avoids the use of upsampling layers to improve image quality. The method performs well compared to expansion/inverse tone mapping operators quantitatively on multiple metrics, even for badly exposed inputs.
81 citations
Patent•
08 Dec 2011TL;DR: In this article, the authors proposed a method to generate a low dynamic range image from a high-dynamic range image by determining one or more regions of the image containing pixels having values that are outside a first range and inside a second range.
Abstract: Methods and apparatuses for generating a low dynamic range image for a high dynamic range scene. In one aspect, a method to generate a low dynamic range image from a high dynamic range image, includes: determining one or more regions of the high dynamic range image containing pixels having values that are outside a first range and inside a second range; computing a weight distribution from the one or more regions; and generating the low dynamic range image from the high dynamic range image using the weight distribution. In another aspect, a method of image processing, includes: detecting one or more regions in a first image of a high dynamic range scene according to a threshold to generate a mask; and blending the first image and a second image of the scene to generate a third image using the mask.
80 citations
TL;DR: The design of the Thomson scattering system at the Wendelstein 7-X stellarator is described and peaked temperature profiles and flat density profiles are observed in helium and hydrogen discharges.
Abstract: This paper describes the design of the Thomson scattering system at the Wendelstein 7-X stellarator. For the first operation campaign we installed a 10 spatial channel system to cover a radial half profile of the plasma cross section. The start-up system is based on one Nd:YAG laser with 10 Hz repetition frequency, one observation optics, five fiber bundles with one delay line each, and five interference filter polychromators with five spectral channels and silicon avalanche diodes as detectors. High dynamic range analog to digital converters with 14 bit, 1 GS/s are used to digitize the signals. The spectral calibration of the system was done using a pulsed super continuum laser together with a monochromator. For density calibration we used Raman scattering in nitrogen gas. Peaked temperature profiles and flat density profiles are observed in helium and hydrogen discharges.
80 citations
24 Apr 2015
TL;DR: It is shown that with limited bit depth, very high radiance levels can be recovered from a single modulus image with the newly proposed unwrapping algorithm for natural images.
Abstract: This paper presents a novel framework to extend the dynamic range of images called Unbounded High Dynamic Range (UHDR) photography with a modulo camera. A modulo camera could theoretically take unbounded radiance levels by keeping only the least significant bits. We show that with limited bit depth, very high radiance levels can be recovered from a single modulus image with our newly proposed unwrapping algorithm for natural images. We can also obtain an HDR image with details equally well preserved for all radiance levels by merging the least number of modulus images. Synthetic experiment and experiment with a real modulo camera show the effectiveness of the proposed approach.
80 citations