Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the
acquisition of digital content and impelling the progress of visual compression towards …

In response to the COVID-19 pandemic and its strain on healthcare resources, this study
presents a comprehensive review of various techniques that can be used to integrate image …

As smart devices are becoming increasingly common in people's daily lives, privacy and
security concerns make data collection expensive and limited, which further hinder the …

In this paper, we propose a novel light field compression method based on a low rank-
constrained neural scene representation. While most existing methods directly compress the …

Recently, many view synthesis-based methods are proposed for high-efficiency light field
(LF) image compression. However, most existing methods fail to recover more texture details …

The construction and development of new techniques for a nonlinear multivalued Boolean
function is one of the important aspects of modern ciphers. These multivalued Boolean …

Semantic image synthesis approaches has been dominated by the modelling of
Convolutional Neural Networks (CNN). Due to the limitations of local perception, their …

In the digital era, sharing pictures on social media has become a common privacy issue. To
prevent private images from being eavesdropped on and destroyed, developing secure and …

Images contain a wealth of information and are frequently targeted by malicious attackers
when transmitted over public networks. Fortunately, image encryption prevents confidential …

Medical image encryption is a major issue in healthcare applications where memory,
energy, and computational resources are constrained. The modern technological …