Results 11 to 20 of about 57,249 (234)
Enhancement and Noise Suppression of Single Low-Light Grayscale Images
Remote Sensing, 2022 Low-light images have low contrast and high noise, making them not easily readable. Most existing image-enhancement methods focus on color images. In the present study, an enhancement and denoising algorithm for single low-light grayscale images is ...
Ting Nie +7 more
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HDR Image Reconstruction Using Segmented Image Learning
IEEE Access, 2021 Converting a low dynamic range (LDR) image into a high dynamic range (HDR) image produces an image that closely depicts the real world without requiring expensive devices.
Byeong Dae Lee, Myung Hoon Sunwoo
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IEEE Access, 2022 Modern displays have the capability of rendering video contents encoded with high dynamic range (HDR) standards. HDR contents deliver more realistic visual experiences by wider color gamut and luminance compared to standard dynamic range (SDR) contents ...
Joon-Ki Bae, Subin Yang, Sung-Ho Bae
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Lightness Modulated Deep Inverse Tone Mapping
CoRR, 2021 11 pages, 10 ...
Kanglin Liu +3 more
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IEEE Access, 2021 We propose a novel and efficient algorithm for detection of specular reflections and light sources (highlights) in cinematic content. The detection of highlights is important for reconstructing them properly in the conversion of the low dynamic range ...
Ana Stojkovic +4 more
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SR-ITM-GAN: Learning 4K UHD HDR With a Generative Adversarial Network
IEEE Access, 2020 Currently, high dynamic range (HDR) videos with high resolution (HR) have become popular due to the display and the rendered technological advancements. However, making ultra-high definition (UHD) with HDR videos is expensive.
Huimin Zeng +3 more
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Multi-Exposure Fusion With Guidance Information: Night Color Image Enhancement for Roadside Units
IEEE Access, 2023 The computer vision-based roadside occupation surveillance system is a key infrastructure component of Cooperative Intelligent Transport Systems. However, traffic images captured under low-light conditions suffer from low visibility and unexpected noise.
Chen Yaqing, Wang Huaming
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Derivatives and inverse of cascaded linear+nonlinear neural models. [PDF]
PLoS ONE, 2018 In vision science, cascades of Linear+Nonlinear transforms are very successful in modeling a number of perceptual experiences. However, the conventional literature is usually too focused on only describing the forward input-output transform.
M Martinez-Garcia +4 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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Action-based effects on music perception [PDF]
, 2014 The classical, disembodied approach to music cognition conceptualizes action and perception as separate, peripheral processes. In contrast, embodied accounts of music cognition emphasize the central role of the close coupling of action and perception. It
Leman, Marc +3 more
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