Due to the influence of the environment and the limit of optical equipment, low-light images
produce problems such as low brightness, high noise, low contrast, and color distortion …

Low‐light images are captured in environments with minimal lighting, such as nighttime or
underwater conditions. These images often suffer from issues like low brightness, poor …

低照度条件下拍摄的照片往往存在亮度低, 颜色失真, 噪声高, 细节退化等多重耦合问题,
因此低照度图像增强是一个具有挑战性的任务. 现有基于深度学习的低照度图像增强方法通常 …

This work evaluates six state-of-the-art deep neural network (DNN) architectures applied to
the problem of enhancing camera-captured document images. The results from each …

针对传统Retinex 图像增强算法存在的纹理细节保留差, 过度增强和色调突变等不足,
文中提出了一种基于MSRCR (带色彩恢复的多尺度Retinex 算法) 的拉普拉斯金字塔方法 …

In this study, we present a novel Road Curve and Lane Identification Scheme that harnesses
the power of an Effective Hybrid Learning Methodology (EHLM). This advanced approach …

In this study, we introduce ILAPP (Intelligent Learning Assisted Prediction Principles), an
innovative design for a Sign Language Recognition System. ILAPP harnesses the power of …

Human Activity Recognition (HAR) is a critical component in various domains, including
healthcare, security, and human-computer interaction. Accurate and efficient HAR systems …

The Novel Artificial Intelligence Assisted Children's (NAIAC) Fingerprint Recognition System
using Modified Artificial Neural Network presents an innovative approach to biometric …

In the realm of digital image processing and enhancement, the relentless pursuit of
achieving higher perceptual quality in noise-suppressed images has remained a compelling …