Video inpainting aims to fill in the missing regions of the video frames with plausible content.
Benefiting from the outstanding long-range modeling capacity, the transformer-based …

Image denoising is a vital computer vision task that aims to remove noise from images. Deep
learning techniques have made remarkable progress in this field in recent years. This survey …

The imaging process of real-world images is inevitably polluted by noise, which affects the
visual quality and subsequent processing of images. How to restore image details while …

Image denoising is a critical task in computer vision aimed at removing unwanted noise from
images, which can degrade image quality and affect visual details. This study proposes a …

Optical coherence tomography (OCT) can perform non-invasive high-resolution three-
dimensional (3D) imaging and has been widely used in biomedical fields, while it is …

Images are easily polluted by noise in the process of acquisition and transmission, which
will affect people's understanding and utilization of knowledge and information in images …

Optical coherence tomography (OCT), owing to its non-invasive nature, has demonstrated
tremendous potential in clinical practice and has become a prevalent diagnostic method …

Retinal ganglion cells play an important role in human vision, and their degeneration results
in glaucoma and other neurodegenerative diseases. Imaging these cells in the living human …

Optical coherence tomography (OCT) has stimulated a wide range of medical image-based
diagnosis and treatment in fields such as cardiology and ophthalmology. Such applications …

Sweat pores are gaining recognition as a secure, reliable, and identifiable third-level
fingerprint feature. Challenges arise in collecting sweat pores when fingers are …