On the Use of Deep Learning for Blind Image Quality Assessment

On the Use of Deep Learning for Blind Image Quality Assessment

17 February 2016

Paolo Napoletano

Raimondo Schettini

Papers citing "On the Use of Deep Learning for Blind Image Quality Assessment"

16 / 16 papers shown

Title
Content-Distortion High-Order Interaction for Blind Image Quality Assessment Shuai Liu Qingyu Mao Chao Li Jiacong Chen Fanyang Meng Yonghong Tian Yongsheng Liang 26 0 0 07 Apr 2025
Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention Hassan Khalid Nisar Ahmed 16 1 0 19 Jul 2023
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression Nisar Ahmed H. M. Asif Hassan Khalid 13 18 0 16 May 2023
Deep Ensembling for Perceptual Image Quality Assessment Nisar Ahmed H. M. Asif A. R. Bhatti Atif Khan 11 9 0 16 May 2023
Half of an image is enough for quality assessment Junyong You Yuan Lin J. Korhonen 21 2 0 30 Jan 2023
Evaluation of quality measures for color quantization G. Ramella 15 18 0 25 Nov 2020
Multi-pooled Inception features for no-reference image quality assessment D. Varga 19 41 0 10 Nov 2020
Critical analysis on the reproducibility of visual quality assessment using deep features Franz Götz-Hahn Vlad Hosu Dietmar Saupe 21 9 0 10 Sep 2020
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation Baoliang Chen Haoliang Li Hongfei Fan Shiqi Wang 20 32 0 19 Aug 2020
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features" Franz Götz-Hahn Vlad Hosu Dietmar Saupe 9 6 0 09 May 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment Hancheng Zhu Leida Li Jinjian Wu W. Dong Guangming Shi 30 274 0 11 Apr 2020
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network Weixia Zhang Kede Ma Jia Yan Dexiang Deng Zhou Wang 14 647 0 05 Jul 2019
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement Jia Yan Jie Li Xin Fu 18 80 0 18 Apr 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank Xialei Liu Joost van de Weijer Andrew D. Bagdanov SSL 20 174 0 17 Feb 2019
Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions Risheng Liu Xin-Yue Fan Ming Zhu Minjun Hou Zhongxuan Luo 14 495 0 15 Jan 2019
Blind Predicting Similar Quality Map for Image Quality Assessment Da Pan Ping Shi Ming-rui Hou Zefeng Ying Sizhe Fu Yuan Zhang 8 103 0 22 May 2018