Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives
Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …
motivation of image enhancement is processing an image to be more suitable for specific …
Harmonizer: Learning to perform white-box image and video harmonization
Recent works on image harmonization solve the problem as a pixel-wise image translation
task via large autoencoders. They have unsatisfactory performances and slow inference …
task via large autoencoders. They have unsatisfactory performances and slow inference …
Ssh: A self-supervised framework for image harmonization
Image harmonization aims to improve the quality of image compositing by matching the"
appearance""(eg, color tone, brightness and contrast) between foreground and background …
appearance""(eg, color tone, brightness and contrast) between foreground and background …
Transformer for image harmonization and beyond
Image harmonization, aiming to make composite images look more realistic, is an important
and challenging task. The composite, synthesized by combining foreground from one image …
and challenging task. The composite, synthesized by combining foreground from one image …
Lighting up nerf via unsupervised decomposition and enhancement
Abstract Neural Radiance Field (NeRF) is a promising approach for synthesizing novel
views, given a set of images and the corresponding camera poses of a scene. However …
views, given a set of images and the corresponding camera poses of a scene. However …
Modeling cameras for autonomous vehicle and robot simulation: An overview
Simulation is increasingly important in the development and testing of robots and
autonomous vehicles as it opens the door for candidate navigation, perception, and sensor …
autonomous vehicles as it opens the door for candidate navigation, perception, and sensor …
Starenhancer: Learning real-time and style-aware image enhancement
Image enhancement is a subjective process whose targets vary with user preferences. In
this paper, we propose a deep learning-based image enhancement method covering …
this paper, we propose a deep learning-based image enhancement method covering …
Fsi: Frequency and spatial interactive learning for image restoration in under-display cameras
Under-display camera (UDC) systems remove the screen notch for bezel-free displays and
provide a better interactive experience. The main challenge is that the pixel array of light …
provide a better interactive experience. The main challenge is that the pixel array of light …