Results 11 to 20 of about 38,835 (213)
Iterative Convolutional Neural Network-Based Illumination Estimation
In the image processing pipelines of digital cameras, one of the first steps is to achieve invariance in terms of scene illumination, namely computational color constancy.
Karlo Koscevic +2 more
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Low-Light Monocular Depth Estimation Algorithm Based on Illumination Adaptive Image Enhancement [PDF]
Depth estimation in low-light scenes is an enormous challenge in the field of monocular depth estimation. Although numerous algorithms have attempted to improve their performance in low-light scenarios through a variety of techniques, the inconsistent ...
Xiaoqian Cao +3 more
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Deep Learning-Based Illumination Estimation Using Light Source Classification
Color constancy is one of the key steps in the process of image formation in digital cameras. Its goal is to process the image so that there is no influence of illumination color on the colors of objects and surfaces.
Karlo Koscevic +2 more
doaj +3 more sources
It is a challenging task to improve the performance of face recognition under complex illumination conditions. Illumination estimation-based illumination invariant extraction is widely used to alleviate the adverse effects of illumination variation on ...
Yong Cheng +5 more
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MonoGID: geometry and illumination aware enhancement with distillation for self-supervised monocular endoscopic depth estimation [PDF]
Background Monocular depth estimation in endoscopic scenes is a fundamental prerequisite for intraoperative 3D reconstruction and surgical navigation.
Guodong Wei +7 more
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Illumination and Reflectance Estimation with its Application in Foreground Detection
In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory.
Gang Jun Tu +3 more
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SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]
The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub +3 more
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Framework for Illumination Estimation and Segmentation in Multi-Illuminant Scenes
Color constancy is an important part of the human visual system, as it allows us to perceive the colors of objects invariant to the color of the illumination that is illuminating them.
Donik Vrsnak +3 more
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Since AlexNet, large deep convolutional neural networks (DCNNs) have been one of the major topics of interest in the field of computer vision, as well as bringing remarkable progress to the field. However, there has been little effort to use the DCNNs in
Ho-Hyoung Choi, Byoung-Ju Yun
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Color constancy methods are generally based on a simplifying assumption that the spectral distribution of a light source is uniform across scenes. However, in reality, this assumption is often violated because of the presence of multiple light sources ...
Fei Wang +5 more
doaj +1 more source

