Results 11 to 20 of about 31,861,741 (256)
Extending and Matching a High Dynamic Range Image from a Single Image [PDF]
Sensors, 2020 Extending the dynamic range can present much richer contrasts and physical information from the traditional low dynamic range (LDR) images. To tackle this, we propose a method to generate a high dynamic range image from a single LDR image. In addition, a
Van Luan Tran, Huei-Yung Lin
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Overview of High-Dynamic-Range Image Quality Assessment [PDF]
Journal of ImagingIn recent years, the High-Dynamic-Range (HDR) image has gained widespread popularity across various domains, such as the security, multimedia, and biomedical fields, owing to its ability to deliver an authentic visual experience.
Yue Liu +4 more
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Dynamic Exposure-Adaptive Learning for Multi-Exposure Image Fusion Using RAW-Derived Training Pairs [PDF]
SensorsMulti-exposure image fusion aims to expand the dynamic range of images by combining complementary information from differently exposed inputs. However, existing high dynamic range (HDR) reconstruction and exposure fusion methods often depend on HDR ...
Seung Hwan Lee, Sung Hak Lee
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High Dynamic Range Image Reconstruction from Saturated Images of Metallic Objects [PDF]
Journal of ImagingThis study considers a method for reconstructing a high dynamic range (HDR) original image from a single saturated low dynamic range (LDR) image of metallic objects.
Shoji Tominaga, Takahiko Horiuchi
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Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image
IEEE Access, 2018 Recently, high dynamic range (HDR) imaging has attracted much attention as a technology to reflect human visual characteristics owing to the development of the display and camera technology.
Siyeong Lee, Gwon Hwan An, Suk-Ju Kang
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Enhancing Low-Light High-Dynamic-Range Image from Industrial Cameras Using Dynamic Weighting and Pyramid Fusion [PDF]
SensorsIn order to solve the problem of imaging quality of industrial cameras for low-light and large dynamic scenes in many fields, such as smart city and target recognition, this study focuses on overcoming two core challenges: first, the loss of image ...
Meihan Dong +4 more
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Applied SciencesHigh dynamic range imaging is an important field in computer vision. Compared with general low dynamic range (LDR) images, high dynamic range (HDR) images represent a larger luminance range, making the images closer to the real scene.
Huei-Yung Lin +3 more
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HIGH DYNAMIC RANGE IMAGE COMPRESSION ON COMMODITY HARDWARE FOR REAL-TIME MAPPING APPLICATIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 This paper describes a lossy compression scheme for high dynamic range graylevel and color imagery for data transmission purposes in real-time mapping scenarios.
D. Frommholz, D. Hein, M. Bock
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IEEE Open Journal of Signal Processing, 2023 High-dynamic range (HDR) images,which provide realistic visual perception, have attracted considerable attention in various applications. A simple method for obtaining HDR images is to fuse multiple low-dynamic range (LDR) images captured under varying ...
Jui-Chiu Chiang +2 more
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation
IEEE Access, 2020 In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye.
Hanbyol Jang +3 more
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