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 …

Pattern recognition techniques form the heart of most, if not all, incoherent linear shift-
invariant systems. When an object is recorded using a camera, the object information is …

Non-uniform low-light images, characterized by complex lighting conditions, pose a
significant challenge in image restoration and enhancement, particularly under backlit …

The low visibility and dull colors associated with low-light images are not only difficult to
satisfy the photographer, but also hinder further visual tasks. In this study, we propose an …

Low-light image enhancement is challenging due to intractable problems such as color
distortion and noise, which hide in the dark. Simply enhancing the brightness of dark areas …

Multi-scale feature fusion has been recognized as an effective strategy to boost the quality of
low-light images. However, most existing methods directly extract multi-scale contextual …

The poor quality of images recorded in low-light environments affects their further
applications. To improve the visibility of low-light images, we propose a recurrent network …

在低光环境下拍摄的图像质量不佳, 影响其进一步应用. 为提升低光图像可视性,
提出一种基于过滤—群聚注意力(FCA) 的递归网络, 其中主体由3 个单元组成: 差异关注 …

Soil images collected under different illumination conditions can be enhanced with a
brightness-controlled enhancement algorithm, so that the result image is similar to the real …

针对色纱目标小, 相近颜色区别不明显导致难以实时精准识别色纱颜色的问题,
提出一种基于改进的YOLOv5 模型色纱颜色高效识别方法. 以YOLOv5 网络为基础 …