Low-light enhancement (LLE) is a fundamental technique for improving the visual
perception and interpretability of images and videos that suffer from low light degradation. In …

The presence of missing data poses a significant challenge in knowledge extraction, where
completeness and quality are crucial factors. The decision to ignore records with missing …

Traditional object detection methods cannot effectively identify underwater objects with
complex backgrounds, and it is difficult to fully obtain the details of small-scale underwater …

In low-light environments, the amount of light captured by the camera sensor is reduced,
resulting in lower image brightness. This makes it difficult to recognize or completely lose …

The presence of noise results in the decrease of the data quality, and thus affects seriously
the learning performance. In this paper, we investigate theoretically and empirically how …

Deep learning-based computer vision techniques have high efficiency in assessing concrete
cracks from images, and the assessment can be automated using robots for higher …

Due to the unique environment for the underwater imaging, the acquired images are often
blurred, color-distorted, and low-contrast, resulting in low-quality images. Enhancing these …

Low-illumination color imaging technology aims to overcome the significant decline in
imaging performance of human eye under low-light conditions, playing a crucial role in …

Strong demand for electric vehicles and energy storage applications has led to a rapid
expansion of the battery sector. Laser welding is widely used in lithium-ion batteries and …

Object detection algorithms struggle with several challenges in low-light conditions,
including blurry and dim targets, unclear imaging, and significant loss of detail. These …