Visual quality assessment of stereoscopic image and video: challenges, advances, and future trends
Visual quality assessment of stereoscopic/3D images and videos has become an
increasingly important and active field of research with the rapid growth in the quantity of …
increasingly important and active field of research with the rapid growth in the quantity of …
Hierarchical feature degradation based blind image quality assessment
Though blind image quality assessment (BIQA) is highly demanded for many image
processing systems, it is extremely difficult for BIQA to accurately predict the quality without …
processing systems, it is extremely difficult for BIQA to accurately predict the quality without …
模糊失真图像无参考质量评价综述
陈健， 李诗云， 林丽， 王猛， 李佐勇 - 自动化学报, 2022 - aas.net.cn
图像的模糊问题影响人们对信息的感知, 获取及图像的后续处理. 无参考模糊图像质量评价是该
问题的主要研究方向之一. 本文分析了近20 年来无参考模糊图像质量评价相关技术的发展. 首先 …
问题的主要研究方向之一. 本文分析了近20 年来无参考模糊图像质量评价相关技术的发展. 首先 …
Face detection on distorted images augmented by perceptual quality-aware features
Motivated by the proliferation of low-cost digital cameras in mobile devices being deployed
in automated surveillance networks, we study the interaction between perceptual image …
in automated surveillance networks, we study the interaction between perceptual image …
Performance evaluation of wavelet, ridgelet, curvelet and contourlet transforms based techniques for digital image denoising
Digital images always inherit some extent of noise in them. This noise affects the information
content of the image. Removal of this noise is very important to extract useful information …
content of the image. Removal of this noise is very important to extract useful information …
CNN-based cross-dataset no-reference image quality assessment
D Yang, VT Peltoketo… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Recent works on no-reference image quality assessment (NR-IQA) have reported good
performance for various datasets. However, they suffer from significant performance drops in …
performance for various datasets. However, they suffer from significant performance drops in …
Feature maps driven no-reference image quality prediction of authentically distorted images
D Ghadiyaram, AC Bovik - Human Vision and Electronic …, 2015 - spiedigitallibrary.org
Current blind image quality prediction models rely on benchmark databases comprised of
singly and synthetically distorted images, thereby learning image features that are only …
singly and synthetically distorted images, thereby learning image features that are only …
Experimental comparison of machine learning-based available bandwidth estimation methods over operational LTE networks
N Sato, T Oshiba, K Nogami… - … IEEE Symposium on …, 2017 - ieeexplore.ieee.org
We propose PathML, an available bandwidth (ie, unused capacity of an end-to-end path)
estimation method based on a data-driven paradigm that uses machine learning with a large …
estimation method based on a data-driven paradigm that uses machine learning with a large …
Blind image quality assessment with joint entropy degradation
Blind image quality assessment (BIQA) aims to evaluate the quality of an image without
pristine image objectively, which is highly desired in many perception-oriented image …
pristine image objectively, which is highly desired in many perception-oriented image …
Seal: A framework for systematic evaluation of real-world super-resolution
Real-world Super-Resolution (Real-SR) methods focus on dealing with diverse real-world
images and have attracted increasing attention in recent years. The key idea is to use a …
images and have attracted increasing attention in recent years. The key idea is to use a …