Results 31 to 40 of about 22,853,467 (283)
Hierarchical guided network for low‐light image enhancement
IET Image Processing, 2021 Due to insufficient illumination in low‐light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks.
Xiaomei Feng, Jinjiang Li, Hui Fan
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Delaunay triangulation based image enhancement for echocardiography images [PDF]
, 2009 A novel image enhancement approach for automatic echocardiography image processing is proposed. The main steps include undecimated wavelet based speckle noise reduction, edge detection, followed by a regional enhancement process that employs Delaunay ...
Ahanathapillai, V. +2 more
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Improved Retinex-Theory-Based Low-Light Image Enhancement Algorithm
Applied Sciences, 2023 Researchers working on image processing have had a hard time handling low-light images due to their low contrast, noise, and brightness. This paper presents an improved method that uses the Retinex theory to enhance low-light images, with a network model
Jiarui Wang +3 more
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Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
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A degradation model for simultaneous brightness and sharpness enhancement of low-light image
, 2021 Although a large number of methods have been proposed for low-light image enhancement, there still remain challenges for these methods to simultaneously achieve excellent sharpness/resolution, high calculation efficiency as well as visual pleasure ...
Li, Pengliang +2 more
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Adaptive Enhancement of Extreme Low-Light Images
, 2023 Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set. However, this assumption often does not hold, leading to output images that contain visual imperfections such as dark regions or low contrast.
Evgeny Hershkovitch Neiterman +2 more
openaire +3 more sources
Exploring the Contributions of Low-Light Image Enhancement to Network-Based Object Detection
, 2021 Low-light is a challenging environment for both human and computer vision to perform tasks such as object classification and detection. Recent works have shown potential in employing enhancements algorithms to support and improve such tasks in low-light,
Yuen Peng Loh, Loh, Yuen Peng
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Applied Sciences, 2023 Insufficient light, uneven light, backlighting, and other problems lead to poor visibility of the image of an electric power operation site. Most of the current methods directly enhance the low-light image while ignoring local strong light that may ...
Yang Xi, Zihao Zhang, Wenjing Wang
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Multi-Scale Low-Light Image Enhancement Network Based on U-Net [PDF]
Jisuanji gongcheng, 2022 Low light is a common phenomenon when shooting at night.Insufficient illumination causes serious loss of image details and reduces visual quality.The existing low-light image enhancement methods have insufficient perception and expression of features at ...
XU Chaoyue, YU Ying, HE Penghao, LI Miao, MA Yuhui
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