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 …

Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …

Due to the absence of a desirable objective for low-light image enhancement, previous data-
driven methods may provide undesirable enhanced results including amplified noise …

Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …

We review a class of methods that can be collected under the name nonlinear transform
coding (NTC), which over the past few years have become competitive with the best linear …

Rain streaks, particularly in heavy rain, not only degrade visibility but also make many
computer vision algorithms fail to function properly. In this paper, we address this visibility …

Lossy image compression is generally formulated as a joint rate-distortion optimization
problem to learn encoder, quantizer, and decoder. Due to the non-differentiable quantizer …

The past decade has witnessed the great success of deep learning in many disciplines,
especially in computer vision and image processing. However, deep learning-based video …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Traditional communication systems treat messages' semantic aspects and meaning as
irrelevant to communication, revealing its limitations in the era of artificial intelligence (AI) …