Deep learning based just noticeable difference and perceptual quality prediction models for compressed video

Y Zhang, H Liu, Y Yang, X Fan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Human visual system has a limitation of sensitivity in detecting small distortion in an
image/video and the minimum perceptual threshold is so called Just Noticeable Difference …

[PDF][PDF] Efficient prediction of the first just noticeable difference point for JPEG compressed images

B Bondžulić, N Stojanović, V Petrović… - Acta Polytechnica …, 2021 - acta.uni-obuda.hu
In this paper, we show that a high-level of correlation exists between a simple image feature–
mean gradient magnitude and the peak signal-to-noise ratio (PSNR) of the first just …

Fine-grained image quality assessment: A revisit and further thinking

X Zhang, W Lin, Q Huang - … on Circuits and Systems for Video …, 2021 - ieeexplore.ieee.org
Image quality assessment (IQA) plays a central role in many image processing algorithms
and systems. Although many popular IQA models achieves high performance on existing …

Satisfied-user-ratio modeling for compressed video

X Zhang, C Yang, H Wang, W Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With explosive increase of internet video services, perceptual modeling for video quality has
attracted more attentions to provide high quality-of-experience (QoE) for end-users subject …

Just recognizable distortion for machine vision oriented image and video coding

Q Zhang, S Wang, X Zhang, S Ma, W Gao - International Journal of …, 2021 - Springer
Abstract Machine visual intelligence has exploded in recent years. Large-scale, high-quality
image and video datasets significantly empower learning-based machine vision models …

Zrec: Robust recovery of mean and percentile opinion scores

J Zhu, A Ak, P Le Callet… - … Conference on Image …, 2023 - ieeexplore.ieee.org
Observer screening and subject opinion score recovery is essential for collecting a reliable
QoE database. This paper proposes a new method, ZREC*, which uses Z-scores to estimate …

A survey on just noticeable distortion estimation and its applications in video coding

G Wang, H Wang, H Li, L Yu, H Yin, H Xu, Z Ye… - Journal of Visual …, 2024 - Elsevier
With the develo** explosion in video data delivery, perceptual video coding (PVC) plays
an increasingly significant role in video compression. The just noticeable distortion (JND) …

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning

H Lin, V Hosu, C Fan, Y Zhang, Y Mu… - Quality and User …, 2020 - Springer
The satisfied user ratio (SUR) curve for a lossy image compression scheme, eg, JPEG,
characterizes the complementary cumulative distribution function of the just noticeable …

A simple and reliable approach to providing a visually lossless image compression

B Bondžulić, B Pavlović, N Stojanović, V Petrović… - The Visual …, 2024 - Springer
This paper presents an approach for providing the desired visually lossless quality of Joint
Photographic Experts Group (JPEG) and Versatile Video Coding (VVC) compressed …

Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames

S Nami, F Pakdaman, MR Hashemi… - … on Circuits and …, 2024 - ieeexplore.ieee.org
The Just Noticeable Difference (JND) refers to the smallest distortion in an image or video
that can be perceived by Human Visual System (HVS), and is widely used in optimizing …