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An Application of HDR in Medical Imaging
2016We describe a solution aimed at overcoming dynamic range problems in the visualization of medical images. We first analyze the specific requirements for a high dynamic range (HDR) display that should operate in the medical (diagnostic) context, and the procedures that are followed in a laboratory of the US Food and Drug Administration to evaluate such ...
G. Ramponi +4 more
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HDR Image Compression with Convolutional Autoencoder
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020As one of the next-generation multimedia technology, high dynamic range (HDR) imaging technology has been widely applied. Due to its wider color range, HDR image brings greater compression and storage burden compared with traditional LDR image. To solve this problem, in this paper, a two-layer HDR image compression framework based on convolutional ...
Fei Han +4 more
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SIGGRAPH Asia 2018 Posters, 2018
The dynamic range of display is much lower than the one perceived by human eye. This problem has been studied in both aspects of photography and display [Debevec and Malik 1997; Hirsch et al. 2014].
Yuta Itoh 0002 +2 more
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The dynamic range of display is much lower than the one perceived by human eye. This problem has been studied in both aspects of photography and display [Debevec and Malik 1997; Hirsch et al. 2014].
Yuta Itoh 0002 +2 more
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Testing HDR Image Rendering Algorithms
Color and Imaging Conference, 2004Eight high-dynamic-range image rendering algorithms were tested using ten high-dynamic-range pictorial images. A large-scale paired comparison psychophysical experiment was developed containing two sections, comparing the overall rendering performances and grayscale tone mapping performance respectively.
Kuang, Jiangtao +3 more
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2018 26th Telecommunications Forum (TELFOR), 2018
Improving image quality by expanding the dynamic range has been intensively used recently. This results in the presence of much more details in the image, which is very important in most applications. The spread of the dynamic range has its limits and they are defined by the physical limits of the sensor used, i.e. the limitations of its A/D converter.
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Improving image quality by expanding the dynamic range has been intensively used recently. This results in the presence of much more details in the image, which is very important in most applications. The spread of the dynamic range has its limits and they are defined by the physical limits of the sensor used, i.e. the limitations of its A/D converter.
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Fast bilateral filter for HDR imaging
Journal of Visual Communication and Image Representation, 2012Bilateral filtering is a method often used in image processing applications. It is specifically useful for HDR algorithms. A novel approach to a fast and close approximation of bilateral filtering is presented. The method is designed especially with a focus on HDR image conversion into a normal color space processing.
Michal Seeman +3 more
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Image and video compression for HDR content
SPIE Proceedings, 2012High Dynamic Range (HDR) technology can offer high levels of immersion with a dynamic range meeting and exceeding that of the Human Visual System (HVS). A primary drawback with HDR images and video is that memory and bandwidth requirements are significantly higher than for conventional images and video.
Zhang, Yang +3 more
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Camera Identification from HDR Images
Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2019Performance of camera identification methods based on PRNU is very sensitive to geometric operations applied to images during acquisition and processing. Handling images that have been geometrically transformed, such as rotated, downsampled, and/or cropped requires overcoming pixel desynchronization problem.
Morteza Darvish Morshedi Hosseini +1 more
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HDR Imaging From Quantization Noise
2020 IEEE International Conference on Image Processing (ICIP), 2020Quantization is an integral part of image acquisition but also a major performance bottleneck due to the trade-off between dynamic range and resolution. As we discuss in this paper, in contrast, quantization noise can be acquired reliably even beyond the dynamic range by re-purposing recent hardware development.
Ayush Bhandari, Felix Krahmer
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An improved HDR image synthesis algorithm
2009 16th IEEE International Conference on Image Processing (ICIP), 2009In high dynamic range (HDR) imaging, multiple photographs with different exposure times are combined into a radiance map, which reflects the radiance in real-life scenes. This involves recovering the response function of the imaging process. The technique proposed by Debevec and Malik is a well-known HDR image synthesis algorithm, but the computational
Saartje De Neve +3 more
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