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Image Quality Estimation

6 papers with code · Computer Vision

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ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation

7 Oct 2016BestiVictory/ILGnet

Thus, it is easy to use a pre-trained GoogLeNet for large-scale image classification problem and fine tune our connected layers on an large scale database of aesthetic related images: AVA, i. e. \emph{domain adaptation}.

DOMAIN ADAPTATION IMAGE CLASSIFICATION IMAGE QUALITY ESTIMATION

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

18 Oct 2018lidq92/SFA

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

BLIND IMAGE QUALITY ASSESSMENT IMAGE QUALITY ESTIMATION NO-REFERENCE IMAGE QUALITY ASSESSMENT

Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?

IEEE Transactions on Multimedia 2018 lidq92/SFA

The proposed method, SFA, is compared with nine representative blur-specific NR-IQA methods, two general-purpose NR-IQA methods, and two extra full-reference IQA methods on Gaussian blur images (with and without Gaussian noise/JPEG compression) and realistic blur images from multiple databases, including LIVE, TID2008, TID2013, MLIVE1, MLIVE2, BID, and CLIVE.

BLIND IMAGE QUALITY ASSESSMENT IMAGE CLASSIFICATION IMAGE QUALITY ESTIMATION NO-REFERENCE IMAGE QUALITY ASSESSMENT

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

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

21 Nov 2018olivesgatech/MS-UNIQUE

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

IMAGE QUALITY ASSESSMENT IMAGE QUALITY ESTIMATION

UNIQUE: Unsupervised Image Quality Estimation

15 Oct 2018olivesgatech/UNIQUE-Unsupervised-Image-Quality-Estimation

A linear decoder is trained with 7 GB worth of data, which corresponds to 100, 000 8x8 image patches randomly obtained from nearly 1, 000 images in the ImageNet 2013 database.

IMAGE QUALITY ESTIMATION