Results 1 to 10 of about 14,056,075 (251)
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images [PDF]
Diagnostics, 2021 Recent trials have evaluated the efficacy of deep convolutional neural network (CNN)-based AI systems to improve lesion detection and characterization in endoscopy.
Vajira Thambawita +5 more
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Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions [PDF]
Sensors, 2019 In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions.
Bulent Ayhan, Chiman Kwan
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IET Image Processing, 2023 With constant advances in deep learning methods as applied to image processing, deep convolutional neural networks (CNNs) have been widely explored in single‐image super‐resolution (SISR) problems and have attained significant success.
Yuanyuan Liu +3 more
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Enhanced Dense Space Attention Network for Super-Resolution Construction From Single Input Image
IEEE Access, 2021 In some applications, such as surveillance and biometrics, image enlargement is required to inspect small details on the image. One of the image enlargement approaches is by using convolutional neural network (CNN)-based super-resolution construction ...
Yoong Khang Ooi +2 more
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Reliable Perceptual Loss Computation for GAN-Based Super-Resolution With Edge Texture Metric
IEEE Access, 2021 Super-resolution (SR) is an ill-posed problem. Generating high-resolution (HR) images from low-resolution (LR) images remains a major challenge. Recently, SR methods based on deep convolutional neural networks (DCN) have been developed with impressive ...
J. Kim, C. Lee
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Point cloud super‐resolution based on geometric constraints
IET Computer Vision, 2021 Among all digital representations we have for real physical objects, three‐dimensional (3D) is arguably the most expressive encoding. But due to the limitations of 3D scanning equipment, point cloud often becomes sparse or partially missing.
Xiaoqiang Li, Jitao Liu, Songmin Dai
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Sensors, 2021 Due to the complex marine environment, side-scan sonar signals are unstable, resulting in random non-rigid distortion in side-scan sonar strip images. To reduce the influence of resolution difference of common areas on strip image mosaicking, we proposed
Ning Zhang +4 more
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Assessment of Chimpanzee Nest Detectability in Drone-Acquired Images
Drones, 2018 As with other species of great apes, chimpanzee numbers have declined over the past decades. Proper conservation of the remaining chimpanzees requires accurate and frequent data on their distribution and density.
Noémie Bonnin +5 more
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The Journal of Engineering, 2019 A novel frequency scanning-based direction-of-arrival (DOA) estimation scheme is proposed at terahertz (THz) band. The diffraction enhancement mechanism, focusing the superposition of the diffracted beam radiated from each element in one unit cell, is ...
Shichao Li +7 more
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Frontiers in Neuroscience, 2019 There is much controversy about the optimal trade-off between blood-oxygen-level-dependent (BOLD) sensitivity and spatial precision in experiments on brain’s topology properties using functional magnetic resonance imaging (fMRI).
Renaud Marquis +13 more
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