Results 21 to 30 of about 11,872,577 (297)
Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
core +1 more source
Exposure Fusion for Dynamic Scenes Combining Retinex Theory and Low-Rank Matrix Completion
IEEE Access, 2019 Exposure fusion (EF) directly generates a low dynamic range (LDR) image with similar image quality to the high dynamic range (HDR) image by combining images of different exposures to overcome the limited dynamic range of common digital cameras.
Mali Yu, Hai Zhang, Hongyan Wan
doaj +1 more source
DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
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Multiresolution-based image fusion with additive wavelet decomposition [PDF]
, 1999 The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data.
Fors Aldrich, Octavi +8 more
core +1 more source
Intrinsic Image Decomposition Using Paradigms
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Intrinsic image decomposition is the classical task of mapping image to albedo. The WHDR dataset allows methods to be evaluated by comparing predictions to human judgements ("lighter", "same as", "darker"). The best modern intrinsic image methods learn a map from image to albedo using rendered models and human judgements.
David A. Forsyth, Jason J. Rock
openaire +4 more sources
Stochastic Capsule Endoscopy Image Enhancement
Journal of Imaging, 2018 Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed underlying tissue surfaces.
Ahmed Mohammed +4 more
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Multi-Modal Image Fusion Based on Matrix Product State of Tensor
Frontiers in Neurorobotics, 2021 Multi-modal image fusion integrates different images of the same scene collected by different sensors into one image, making the fused image recognizable by the computer and perceived by human vision easily.
Yixiang Lu +4 more
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Remote Sensing, 2016 Very high resolution (VHR) remote sensing images are widely used for land cover classification. However, to the best of our knowledge, few approaches have been shown to improve classification accuracies through image scene decomposition. In this paper, a
ZhiYong Lv +3 more
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An Improved Combination of Image Denoisers Using Spatial Local Fusion Strategy
IEEE Access, 2020 Image denoising is a well-researched problem in the image processing field. Numerous image denoising algorithms have been proposed in the past. Although researchers have continually focused on improving the denoising algorithm performance regarding ...
Yiwen Liu, Shaoping Xu, Zhenyu Lin
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Meitan kexue jishu, 2023 Due to the complexity of the spatial environment and poor lighting conditions in underground coal mines, the images obtained by vision devices are prone to problems such as insufficient contrast and poor texture details, which seriously affect the ...
Manli WANG +3 more
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