Image and video compression with neural networks: A review
In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …
bounds. However, due to the popularization of image and video acquisition devices, the …
Feature distillation: Dnn-oriented jpeg compression against adversarial examples
Image compression-based approaches for defending against the adversarial-example
attacks, which threaten the safety use of deep neural networks (DNN), have been …
attacks, which threaten the safety use of deep neural networks (DNN), have been …
Overview of intelligent video coding: from model-based to learning-based approaches
Intelligent video coding (IVC), which dates back to the late 1980s with the concept of
encoding videos with knowledge and semantics, includes visual content compact …
encoding videos with knowledge and semantics, includes visual content compact …
[HTML][HTML] VideoSet: A large-scale compressed video quality dataset based on JND measurement
H Wang, I Katsavounidis, J Zhou, J Park, S Lei… - Journal of Visual …, 2017 - Elsevier
A new methodology to measure coded image/video quality using the just-noticeable-
difference (JND) idea was proposed in Lin et al.(2015). Several small JND-based …
difference (JND) idea was proposed in Lin et al.(2015). Several small JND-based …
Deep learning-based picture-wise just noticeable distortion prediction model for image compression
Picture Wise Just Noticeable Difference (PW-JND), which accounts for the minimum
difference of a picture that human visual system can perceive, can be widely used in …
difference of a picture that human visual system can perceive, can be widely used in …
DeepN-JPEG: A deep neural network favorable JPEG-based image compression framework
As one of most fascinating machine learning techniques, deep neural network (DNN) has
demonstrated excellent performance in various intelligent tasks such as image classification …
demonstrated excellent performance in various intelligent tasks such as image classification …
Rate-distortion optimized quantization for geometry-based point cloud compression
T Guo, H Yuan, L Wang, T Wang - Journal of Electronic …, 2023 - spiedigitallibrary.org
Limited by the network bandwidth, three-dimensional (3D) point cloud needs to be efficiently
compressed before transmission. As one of the three attribute coding methods adopted in …
compressed before transmission. As one of the three attribute coding methods adopted in …
Decision-based adversarial attack with frequency mixup
It has been widely observed that deep neural networks are highly vulnerable to adversarial
examples. Decision-based attacks could generate adversarial examples based solely on top …
examples. Decision-based attacks could generate adversarial examples based solely on top …
Toward top-down just noticeable difference estimation of natural images
Just noticeable difference (JND) of natural images refers to the maximum pixel intensity
change magnitude that typical human visual system (HVS) cannot perceive. Existing efforts …
change magnitude that typical human visual system (HVS) cannot perceive. Existing efforts …
Just noticeable distortion profile inference: A patch-level structural visibility learning approach
In this paper, we propose an effective approach to infer the just noticeable distortion (JND)
profile based on patch-level structural visibility learning. Instead of pixel-level JND profile …
profile based on patch-level structural visibility learning. Instead of pixel-level JND profile …