This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …

Imaging in low light is challenging due to low photon count and low SNR. Short-exposure
images suffer from noise, while long exposure can lead to blurry images and is often …

Deep learning has recently been applied with impressive results to extreme low-light
imaging. Despite the success of single-image processing, extreme low-light video …

Low-light is an inescapable element of our daily surroundings that greatly affects the
efficiency of our vision. Research works on low-light imagery have seen a steady growth …

Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

In this paper, a novel united low-light image enhancement framework for both contrast
enhancement and denoising is proposed. First, the low-light image is segmented into …

Object detection has so far achieved great success. However, almost all of current state-of-
the-art methods focus on images with normal illumination, while object detection under low …

Large-scale data centers leverage virtualization technology to achieve excellent resource
utilization, scalability, and high availability. Ideally, the performance of an application …

A general method for image contrast enhancement and noise reduction is proposed in this
paper. The method is developed especially for enhancing images acquired under very low …