Image Quality Estimation

13 papers with code • 0 benchmarks • 0 datasets

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Saliency-Guided Local Full-Reference Image Quality Assessment

Skythianos/SG-ESSIM Signals 2022

In addition to this, visual saliency was utilized as weights in the weighted averaging of local image quality scores, emphasizing image regions that are salient to human observers.

1
29 Jun 2022

3D Saliency guided Deep Quality predictor for No-Reference Stereoscopic Images

o-messai/3D-NR-SIQA journal 2022

The use of 3D technologies is growing rapidly, and stereoscopic imaging is usually used to display the 3D contents.

2
06 Jan 2022

Image Quality Assessment using Contrastive Learning

pavancm/contrique 25 Oct 2021

We consider the problem of obtaining image quality representations in a self-supervised manner.

108
25 Oct 2021

No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean Image

o-messai/SIQA-SVM-deep Electronic Imaging 2021

Taking this into account, this paper introduces a blind stereoscopic image quality measurement using synthesized cyclopean image and deep feature extraction.

1
01 Jan 2021

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

pterhoer/FaceImageQuality 20 Mar 2020

Face image quality is an important factor to enable high performance face recognition systems.

501
20 Mar 2020

Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality Assessment

o-messai/3DBIQA-AdaBoost Signal Processing: Image Communication 2020

The benchmark LIVE 3D phase-I, phase-II, and IRCCyN/IVC 3D databases have been used to evaluate the performance of the proposed approach.

4
13 Mar 2020

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

sheqi/GAN_Review 4 Jun 2019

While several reviews for GANs have been presented to date, none have considered the status of this field based on their progress towards addressing practical challenges relevant to computer vision.

438
04 Jun 2019

Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies

Apathetically/ProxyOpt SIGGRAPH 2019 2019

We present a fully automatic system to optimize the parameters of black-box hardware and software image processing pipelines according to any arbitrary (i. e., application-specific) metric.

31
01 Apr 2019

MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation

olivesgatech/MS-UNIQUE 21 Nov 2018

We use multiple linear decoders to capture different abstraction levels of the image patches.

4
21 Nov 2018

Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images

lidq92/SFA 18 Oct 2018

To guarantee a satisfying Quality of Experience (QoE) for consumers, it is required to measure image quality efficiently and reliably.

75
18 Oct 2018