With the advent of Internet, images and videos are the most vulnerable media that can be
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …

Recovering 3D surfaces based on the photometric stereo is a challenging task, due to the
non-Lambertian surface of real-world objects. Although much effort has been made to …

The necessary prerequisite for effective data fusion is the strict registration of low-resolution
hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) …

Currently, image-denoising algorithms based on convolutional neural networks (CNN) have
been widely used and have achieved good results. Compared with traditional image …

Image denoising is the key step for image preprocessing. In particular, denoising of a strong
noisy image is truly necessary, even though it might be difficult. Among the different image …

Deep convolutional neural networks (CNN) with hierarchical architectures have obtained
good results for image denoising. However, in some cases where the noise level is …

Transformers have achieved remarkable results in high-level vision tasks, but their
application in low-level computer vision tasks such as image denoising remains largely …

Blind image restoration remains a significant challenge in low-level vision tasks. Recently,
denoising diffusion models have shown remarkable performance in image synthesis …

Neural style transfer has attracted wide attention for the surprising quality of synthetic
images. However, the visual quality of existing methods usually suffers from style transfer …

Low-rank matrix restoration, which aims to recover low-rank structures from degraded
observation matrices, has been extensively studied in computer vision. However, the …