4D-STEM, in which the 2D diffraction plane is captured for each scan position scanning transmission electron microscope (STEM) using a pixelated detector, complementing and increasingly replacing existing imaging approaches. However, at present speed of those detectors, although having drastically improved recent years, still 100 to 1,000 times slower than current PMT technology operators are u...

Multi-modal image fusion can provide more information, which improves the quality for subsequent processing tasks. Because images acquired using photon counting devices always suffer from Poisson noise, this paper proposes a new three-step method based on fractional-order variational and data-driven tight frame to solve problem of multi-modal corrupted by noise. Thus, article obtains fused high...

High-quality depth images are required for stable and accurate computer vision. Depth captured by cameras tend to be noisy, incomplete, of low-resolution. Therefore, increasing the accuracy resolution is desirable. We propose a method reducing noise holes from pixel pixel, resolution. For each in target image, linear space focal point camera through existing object divided into equally spaced g...

Single-frame infrared small target detection (IRSTD) aims to extract targets from background clutter and distinguish them noise. In recent years, semantic segmentation deep learning methods such as CNNs have made many breakthroughs in the field of IRSTD. However, there are limitations this method; for example, tend be too dim, heavy exists. To further improve accuracy IRSTD, we propose a novel ...

Biomedical image registration and fusion are usually scene dependent, and require intensive computational effort. A novel automated approach of feature-based control point detection and area-based registration and fusion of retinal images has been successfully designed and developed. The new algorithm, which is reliable and time-efficient, has an automatic adaptation from frame to frame with fe...

We introduce the notion of a g-atomic subspace for bounded linear operator and construct several useful resolutions identity on Hilbert space using theory g-fusion frames. Also we shall describe concept frame pair Bessel sequences some their properties.