The under-display camera (UDC) provides consumers with a full-screen visual experience
without any obstruction due to notches or punched holes. However, the semi-transparent …

The major task of reflection removal methods is to restore a reflection-free image from a
reflection-contaminated image taken through glass. We propose an algorithm to remove …

Moiré patterns frequently appear when capturing screens with smartphones or cameras,
potentially compromising image quality. Previous studies suggest that moiré pattern …

Capturing images with incorrect exposure settings fails to deliver a satisfactory visual
experience. Only when the exposure is properly set, can the color and details of the images …

Deep learning based methods have achieved significant success in the task of single image
reflection removal (SIRR). However, the majority of these methods are focused on High …

Moire patterns arise when two similar repetitive patterns interfere, a phenomenon frequently
observed during the capture of images or videos on screens. The color, shape, and location …

Existing super-resolution (SR) models are typically trained on datasets captured under
normal-light conditions. However, when dealing with images captured under low-light …

Mirror detection aims to discover mirror regions in images to avoid misidentifying reflected
objects. Existing methods mainly mine clues from spatial domain. We observe that the …

Removing reflection from a single image is an ill-posed problem, while exploiting physics
priors can ease this inverse problem. In this paper, we integrate a physics prior of reflection …

In this letter, we propose a precise algorithm to eliminate reflections from two images by
utilizing temporal and spatial priors. For the temporal prior, we compute the motion …