In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Low-light image enhancement is a notoriously challenging problem. Enhancement of low-
light images is intended to increase contrast, adjust the tone, suppress noise, and produce …

Existing image restoration methods mostly leverage the posterior distribution of natural
images. However, they often assume known degradation and also require supervised …

In this paper, we rethink the low-light image enhancement task and propose a physically
explainable and generative diffusion model for low-light image enhancement, termed as Diff …

Abstract Low-light Image Enhancement (LIE) aims at improving contrast and restoring
details for images captured in low-light conditions. Most of the previous LIE algorithms adjust …

Low-light image enhancement (LLIE) aims at improving the perception or interpretability of
an image captured in an environment with poor illumination. Recent advances in this area …

Night images suffer not only from low light, but also from uneven distributions of light. Most
existing night visibility enhancement methods focus mainly on enhancing low-light regions …

Low-light image enhancement focus on refining the illumination and keep naturalness to
obtain the normal-light image. Current low-light image enhancement methods can well …

Exposure correction task aims to correct the underexposure and its adverse overexposure
images to the normal exposure in a single network. As well recognized, the optimization flow …

This paper presents a perception-aware decomposition and fusion framework for
underwater image enhancement (UIE). Specifically, a general structural patch …