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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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HIGH RESOLUTION IMAGE CLASSIFICATION [PDF]
المجلة العراقية للعلوم الاحصائية, 2005 Classification is an important field with many applications. In particular, the classification of digital imagery has important applications in the mapping community.
Wasfi Taher Saalih
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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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Super-resolution image transfer by a vortex-like metamaterial [PDF]
, 2013 We propose a vortex-like metamaterial device that is capable of transferring image along a spiral route without losing subwavelength information of the image. The super-resolution image can be guided and magnified at the same time with one single design.
Cui, Tie Jun +3 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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