Infrared and visible image fusion is an effective image processing technique to obtain more
comprehensive information, which can help people better understand various scenarios. In …

Image acquisition is a complex process that is affected by a wide variety of internal and
environmental factors. Hence, visibility restoration is crucial for many high-level applications …

Near-infrared (NIR) band sensors capture digital images of scenes under special conditions
such as haze, fog, overwhelming light or mist, where visible (VS) band sensors get …

Joint image denoising algorithms use the structures of the guidance image as a prior to
restore the noisy target image. While the provided guidance images are helpful to improve …

The visible and near-infrared images fusion aims at utilizing their spectrum characteristics to
enhance visibility. However, the current visible and near-infrared fusion algorithms cannot …

Heavy haze/noise can cause unpleasant information loss in near infrared (NIR) and visible
(VI) image fusion. To generate high-quality fused images, this paper proposes a detail …

The near-infrared band of the electromagnetic spectrum has become an important tool for
enhancing image quality. Commonly, outdoor color images are degraded by bad weather …

Different from conventional haze removal methods based on a single image, near-infrared
imaging can provide two types of multimodal images: one is the near-infrared image and the …

In low light conditions, visible (VIS) images are of a low dynamic range (low contrast) with
severe noise and color, while near-infrared (NIR) images contain clear textures without …

Abstract A DenseUnet Generative Adversarial Network (GAN) is proposed to colorize near-
infrared (NIR) face images. The GAN generator incorporates the advantages of both …