Results 31 to 40 of about 13,588,714 (305)
A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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Spatiotemporal super-resolution for low bitrate H.264 video [PDF]
, 2010 Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-
Anantrasirichai, N +3 more
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IET Image Processing, 2023 In recent years, terahertz imaging technology has been widely used in security, medicine, and other fields. However, the image resolution is low due to the limits of imaging equipment and diffraction. Traditional super‐resolution methods based on machine
Huanyu Liu, Haipeng Guo, Xiaodong Liu
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Ultrasound Image Enhancement using Super Resolution
Biomedical Engineering Advances, 2022 Within today's day and age, amongst women who fall under the bracket of being of reproductive age, when discussion about Gynecologic tumors comes forward, Uterine Fibroids are found to be abundant.
Ashwini Sawant, Sujata Kulkarni
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Super-resolution of remotely sensed images with variable-pixel linear reconstruction [PDF]
, 2007 This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher ...
Núñez de Murga, Jorge, 1955- +1 more
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Super-Resolution Imaging [PDF]
Journal of Electronic Imaging, 2013 This book serves as an introduction to the flourishing field of super-resolution imaging. It is a compiled volume, with different authors for each of its 14 chapters. While not having a strong outline or textbook format, the chapters group into several sections.
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Image Super-Resolution with Adversarial Learning [PDF]
, 2022 Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
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Super-resolution in computational imaging [PDF]
Micron, 2003 Super-resolution is a word used in different contexts but mainly in the case of methods aimed at improving the resolution of an optical instrument beyond the diffraction limit. Such a result may be achieved by means of specific instrumental techniques (such as, for instance, interferometry) or by means of a suitable processing of a digital image; in ...
BERTERO, MARIO, BOCCACCI, PATRIZIA
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CoRR, 2021 This study presents a chronological overview of the single image super-resolution problem. We first define the problem thoroughly and mention some of the serious challenges. Then the problem formulation and the performance metrics are defined. We give an overview of the previous methods relying on reconstruction based solutions and then continue with ...
Baran Ataman, Mert Seker, David McKee
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A dataset for real-world infrared image super-resolution
, 2023 Some of the real-world infrared image super resolution data set, the rest will be uploaded after the publication of the paper.
Yicheng Zhou (14848888)
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