Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

L ike a lot of universities, Old Dominion has faced, and adapted to, significant enrollment challenges. The number of on-campus students at the public research university, located in coastal Norfolk, ...

Abstract: Conventional 3-D near-field radar image simulation requires electromagnetic (EM) scattering data collection over a densely sampled frequency-azimuth–elevation sector, resulting in burdensome ...

Abstract: Vision-language models have demonstrated impressive capabilities in associating images and text by pretraining on extensive image-text paired data. The paradigm of continual pretraining ...

An implementation of the quantum fourier transform circuit using IBM Qiskit ⚛️. In theory, this would dramatically speed up image processing operations particularly useful in computer vision 🤖.

I'm writing a library for medical images, which rely heavily on SimpleITK. I've encountered problem that completely bugs me: I have three images, which I run through the STAPLEImageFilter with ...

Different forms of linear transformations, such as the Fourier transform, are widely employed in processing of information in various applications. These transformations are generally implemented in ...

1 Department of Electrical and Electronic Engineering, Shizuoka University, Hamamatsu, Japan. 2 Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, Nagakute, ...

1 School of Foreign Language, China Three Gorges University, Yichang, China. 2 College of Materials and Chemical Engineering, China Three Gorges University, Yichang, China. 3 College of Computer and ...