Results 21 to 30 of about 13,228,661 (256)
FNRegion: A fast NAM‐based region extraction algorithm
IET Image Processing, 2023 Region extraction is usually used by many computer vision tasks as a pre‐processing step to extract image features. However, how to efficiently extract effective regions remains a challenging problem.
Yunping Zheng, Bowen Yang, Mudar Sarem
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Representing Blurred Image without Deblurring
Mathematics, 2023 The effective recognition of patterns from blurred images presents a fundamental difficulty for many practical vision tasks. In the era of deep learning, the main ideas to cope with this difficulty are data augmentation and deblurring.
Shuren Qi +3 more
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Shape retrieval by using multi-scale angle-based representation and dynamic label propagation
IET Cyber-systems and Robotics, 2020 To improve the robustness and discrimination power of the triangle-area representation, a novel shape matching method based on multi-scale angle representation is proposed in this study.
Yanxia Yu +6 more
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Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Oukid, Saliha +7 more
core +2 more sources
, 2014 This paper considers the ontological significance of invisibility in relation to the question ‘what is a digital image?’ Its argument in a nutshell is that the emphasis on visibility comes at the expense of latency and is symptomatic of the style of ...
Rubinstein, Daniel
core +3 more sources
Dual Space Latent Representation Learning for Image Representation
Mathematics, 2023 Semi-supervised non-negative matrix factorization (NMF) has achieved successful results due to the significant ability of image recognition by a small quantity of labeled information.
Yulei Huang +3 more
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Learning the representation of instrument images in laparoscopy videos
Healthcare Technology Letters, 2019 Automatic recognition of instruments in laparoscopy videos poses many challenges that need to be addressed, like identifying multiple instruments appearing in various representations and in different lighting conditions, which in turn may be occluded by ...
Sabrina Kletz +2 more
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Parallax‐based second‐order mixed attention for stereo image super‐resolution
IET Computer Vision, 2022 Stereo image pairs can effectively enhance the performance of super‐resolution (SR) since both intra‐view and cross‐view information can be used. However, exploiting cross‐view information accurately is extremely challenging.
Chenyang Duan, Nanfeng Xiao
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Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images
IET Biometrics, 2021 Image forensic datasets need to accommodate a complex diversity of systematic noise and intrinsic image artefacts to prevent any overfitting of learning methods to a small set of camera types or manipulation techniques.
Adam Novozámský +2 more
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Application research on improved CGAN in image raindrop removal
The Journal of Engineering, 2019 Rainy weather can greatly reduce the image quality and hinder the subsequent processing of the image. In order to achieve raindrop removal on rainy images, the single image raindrop removal method based on conditional generative adversarial networks ...
Min Zhu +4 more
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