Generative Visual Compression: A Review
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 …
acquisition of digital content and impelling the progress of visual compression towards …
Comprehensive study of compression and texture integration for digital imaging and communications in medicine data analysis
AK Shakya, A Vidyarthi - Technologies, 2024 - mdpi.com
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 …
presents a comprehensive review of various techniques that can be used to integrate image …
[HTML][HTML] Pricing GAN-based data generators under Rényi differential privacy
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 …
security concerns make data collection expensive and limited, which further hinder the …
Light field compression via compact neural scene representation
J Shi, C Guillemot - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
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 …
constrained neural scene representation. While most existing methods directly compress the …
Multi-stream dense view reconstruction network for light field image compression
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 …
(LF) image compression. However, most existing methods fail to recover more texture details …
Construction of multivalued cryptographic boolean function using recurrent neural network and its application in image encryption scheme
N Abughazalah, A Latif, MW Hafiz, M Khan… - Artificial Intelligence …, 2023 - Springer
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 …
function is one of the important aspects of modern ciphers. These multivalued Boolean …
UNet-like network fused swin transformer and CNN for semantic image synthesis
A Ke, J Luo, B Cai - Scientific Reports, 2024 - nature.com
Semantic image synthesis approaches has been dominated by the modelling of
Convolutional Neural Networks (CNN). Due to the limitations of local perception, their …
Convolutional Neural Networks (CNN). Due to the limitations of local perception, their …
Survey on deep learning applications in digital image security
Z Bao, R Xue - Optical Engineering, 2021 - spiedigitallibrary.org
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 …
prevent private images from being eavesdropped on and destroyed, developing secure and …
Color image encryption based on lite dense-ResNet and bit-XOR diffusion
Z Bao, R Xue, J Hu, Y Liu - Multimedia Tools and Applications, 2024 - Springer
Images contain a wealth of information and are frequently targeted by malicious attackers
when transmitted over public networks. Fortunately, image encryption prevents confidential …
when transmitted over public networks. Fortunately, image encryption prevents confidential …
A hybrid crypto-compression model for secure brain mri image transmission
Medical image encryption is a major issue in healthcare applications where memory,
energy, and computational resources are constrained. The modern technological …
energy, and computational resources are constrained. The modern technological …