Abstract: Image super resolution focuses on increasing the spatial resolution of low-quality images and enhancing their visual quality. Since the image degradation process is unknown in real-life ...
El Niños happen when water in the tropical Pacific heats up, changing weather patterns all around the world. The hotter the ...
Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...
Abstract: This paper proposes an approach for super-resolution of images corrupted by impulse noise by integrating iterative image reconstruction with convolutional neural networks (CNNs). While CNNs ...
Abstract: With the rapid development of micro/nano technology, the requirements for high-resolution images have become increasingly stringent. However, conventional microscopic imaging suffers from ...
Abstract: Hyperspectral super-resolution is commonly accomplished by the fusing of a hyperspectral imaging of low spatial resolution with a multispectral image of high spatial resolution, and many ...
Abstract: Two-dimensional (2-D) near-field millimeter-wave (MMW) imaging systems face challenges in achieving highresolution (HR) images due to constraints in device size and sampling time. These ...
Abstract: To address the low resolution, blurred details, and high computational cost of railway perimeter images, we propose RPIT, a hybrid model combining a lightweight CNN and an enhanced ...
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