Image denoising is a fundamental problem in computer vision and multimedia computation.
Non-local filters are effective for image denoising. But existing deep learning methods that …

Low-light imaging task aims to approximate low-light scenes as perceived by human eyes.
Existing methods usually pursue higher brightness, resulting in unrealistic exposure …

Recently, contrastive learning based on augmentation invariance and instance
discrimination has made great achievements, owing to its excellent ability to learn beneficial …

We study the high dynamic range (HDR) imaging problem in dual-lens systems. Existing
methods usually treat the HDR imaging problem as an image fusion problem and the HDR …

We study the colorization problem in monochrome-color dual-lens camera systems, ie
colorizing the gray image from the monochrome camera using the color image from the color …

The science of deep learning has undergone a revolution thanks to the invention of
generative adversarial networks (GANs), a kind of deep learning design that can produce …

Heart rate measurement is a crucial factor for assessing the overall health status of an
individual. Abnormal heart rates, whether lower or higher than baseline, can indicate …

Colourisation is the process of synthesising colours in black and white images without
altering the image's structural content and semantics. The authors explore the concept of …

Given a grayscale photograph, this paper tackles the issue of fantasizing about a
conceivable shading rendition of the photograph. This issue is underconstrained, so past …

Colorization: Converting a grayscale image into an image with colors acceptable to the
viewer and achieving the minimum coloration goal until it becomes closer to reality. The goal …