Topic
High-dynamic-range imaging
About: High-dynamic-range imaging is a research topic. Over the lifetime, 766 publications have been published within this topic receiving 22577 citations.
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05 Aug 2014TL;DR: In this paper, the authors present a system that can provide solutions to many common imaging problems such as unevenly distributed illumination, shadows, white balance adjustment, colored ambient light and high dynamic range imaging.
Abstract: The present invention can provide solutions to many common imaging problems, such as, for example, unevenly distributed illumination, shadows, white balance adjustment, colored ambient light and high dynamic range imaging. Imaging systems and methods can be provided through a computer (e.g., laptop or desktop) such that the system or method can take advantage of the computer's processing power to provide functionality that goes beyond typical camera. Such an imaging system may include an imaging device, a camera, a light source and a user interface.
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01 Apr 2021TL;DR: Zhang et al. as discussed by the authors proposed a novel attention guided neural network (ADeepHDR) to produce high-quality ghost-free HDR images, which used the attention module to guide the process of image merging.
Abstract: In natural scenes with multi-exposure image fusion (MEF), high dynamic range (HDR) imaging is often affected by moving objects or misalignments in the scene, resulting in ghosting artifacts in the final imaging results, with the help of optical flow method and deep network architecture. To avoid ghosting artifacts better, we propose a novel attention- guided neural network (ADeepHDR) to produce high-quality ghost-free HDR images. Unlike the previous methods, we use the attention module to guide the process of image merging. The attention module can detect the large motions and the notable parts of the different input features and enhance details in the results. Based on the attention module, we also try different subnetwork variants to make full use of the hierarchical features to get more ideal results. Besides, fractional-oder differential convolution is used in the subnetwork variant to extract more detailed features. The proposed ADeepHDR is an improvement method without optical flows, which can better avoid the ghosting artifacts caused by error optical flow estimation and large motions. We have conducted extensive quantitative and qualitative assessments, and show that the proposed method is superior to the most state-of-the- art approaches.
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TL;DR: A code value remapping method is proposed that extends the restricted range code values into the full range code value values so that the existing standards such as HEVC may better compress the video content.
Abstract: Displays capable of showing a greater range of luminance values can render content containing high dynamic range information in a way such that the viewers have a more immersive experience. This paper introduces the design aspects of a high dynamic range (HDR) system, and examines the performance of the HDR processing chain in terms of compression efficiency. Specifically it examines the relation between recently introduced Society of Motion Picture and Television Engineers (SMPTE) ST 2084 transfer function and the High Efficiency Video Coding (HEVC) standard. SMPTE ST 2084 is designed to cover the full range of an HDR signal from 0 to 10,000 nits, however in many situations the valid signal range of actual video might be smaller than SMPTE ST 2084 supported range. The above restricted signal range results in restricted range of code values for input video data and adversely impacts compression efficiency. In this paper, we propose a code value remapping method that extends the restricted range code values into the full range code values so that the existing standards such as HEVC may better compress the video content. The paper also identifies related non-normative encoder-only changes that are required for remapping method for a fair comparison with anchor. Results are presented comparing the efficiency of the current approach versus the proposed remapping method for HM-16.2.
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27 May 2022
TL;DR: In this article , an intra-frame high dynamic range (HDR) infrared imaging is accomplished in a 1280 x 720 format, 8 um pixel pitch digital readout integrated circuit (DROIC) by spatially combining neighboring pixels with different integration times to obtain HDR pixels.
Abstract: Intra-frame high dynamic range (HDR) infrared imaging is accomplished in a 1280 x 720 format, 8 um pixel pitch digital readout integrated circuit (DROIC) by spatially combining neighboring pixels with different integration times to obtain HDR pixels. Intra-frame HDR imaging achieves the same level of dynamic range improvement as traditional inter-frame HDR imaging without compromising temporal resolution. Proximal interpolation to retain the spatial resolution of the HDR infrared frame, tone mapping to effectively display HDR infrared content on limited dynamic range displays, and pseudo-coloring to better visualize HDR infrared imagery are discussed.
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07 Feb 2023TL;DR: In this paper , the authors proposed a novel imaging system where the dynamic range can be adaptively changed according to the brightness of the scene by rotating the polarizer in front of the lens to a specific angle.
Abstract: High Dynamic Range Imaging Based on Attenuation Microarray Mask has broad application prospects due to its good real-time performance and small size. But at the current level of craftsmanship, it is hard to fabricate a micro-attenuation array mask whose attenuation rate is adjustable. This leads to the fact that the imaging dynamic range cannot adapt to changes in scene brightness in most cases. To this end, this paper proposes a novel imaging system where the dynamic range can be adaptively changed according to the brightness of the scene. The core components are the micro polarization array mask mounted on the CMOS surface and the on-sensor rotatable linear polarizer in front of the lens. By controlling the rotation angle of the polarizer placed before the lens, the CMOS pixel exposure can be precisely controlled. Therefore, the imaging system dynamic range can be adjusted adaptively according to the scene brightness. The experimental results show that the imaging performance remains consistently good even when the dynamic range of the scene is large. By rotating the polarizer in front of the lens to a specific angle, the high dynamic imaging of the scene can be significantly improved.