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Image Quality Assessment

27 papers with code · Computer Vision

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Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces

10 Jul 2019hzfu/EyeQ

Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated analysis systems.

IMAGE QUALITY ASSESSMENT

15
10 Jul 2019

Personalised aesthetics with residual adapters

In Iberian Conference on Pattern Recognition and Image Analysis 2019 crp94/Personalised-aesthetic-assessment-using-residual-adapters

The use of computational methods to evaluate aesthetics in photography has gained interest in recent years due to the popularization of convolutional neural networks and the availability of new annotated datasets.

IMAGE QUALITY ASSESSMENT IMAGE QUALITY ESTIMATION RECOMMENDATION SYSTEMS TRANSFER LEARNING

7
10 Jul 2019

Saliency detection based on structural dissimilarity induced by image quality assessment model

24 May 2019yangli-xjtu/SDS

Similar to IQA models, the structural dissimilarity is computed based on the correlation of the structural features.

IMAGE QUALITY ASSESSMENT SALIENCY DETECTION

0
24 May 2019

No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

18 Apr 2019mtobeiyf/CEIQ

No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image.

NO-REFERENCE IMAGE QUALITY ASSESSMENT

11
18 Apr 2019

Effective Aesthetics Prediction with Multi-level Spatially Pooled Features

CVPR 2019 subpic/ava-mlsp

We propose an effective deep learning approach to aesthetics quality assessment that relies on a new type of pre-trained features, and apply it to the AVA data set, the currently largest aesthetics database.

AESTHETICS QUALITY ASSESSMENT

3
02 Apr 2019

Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank

17 Feb 2019xialeiliu/RankIQA

Our results show that networks trained to regress to the ground truth targets for labeled data and to simultaneously learn to rank unlabeled data obtain significantly better, state-of-the-art results for both IQA and crowd counting.

ACTIVE LEARNING CROWD COUNTING IMAGE QUALITY ASSESSMENT LEARNING-TO-RANK

193
17 Feb 2019

Robust statistics and no-reference image quality assessment in Curvelet domain

11 Feb 2019rgiostri/robustcurvelet

This paper uses robust statistics and curvelet transform to learn a general-purpose no-reference (NR) image quality assessment (IQA) model.

NO-REFERENCE IMAGE QUALITY ASSESSMENT

0
11 Feb 2019

Boosting in Image Quality Assessment

21 Nov 2018olivesgatech/Boosting-in-IQA

In addition to support vector machines that are commonly used in the multi-method fusion, we propose using neural networks in the boosting.

IMAGE QUALITY ASSESSMENT

1
21 Nov 2018

Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework

21 Nov 2018olivesgatech/Adaptive-and-Robust-Filter-Sets

While assessing image quality, the filters need to capture perceptual differences based on dissimilarities between a reference image and its distorted version.

IMAGE QUALITY ASSESSMENT

0
21 Nov 2018

A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment

21 Nov 2018olivesgatech/Spatial-Pooling-in-IQA

In this work, we compare the state of the art quality and content-based spatial pooling strategies and show that although features are the key in any image quality assessment, pooling also matters.

IMAGE QUALITY ASSESSMENT

0
21 Nov 2018