Image Quality Estimation
13 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Image Quality Estimation
Latest papers
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.
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?
lidq92/SFA
•
•
IEEE Transactions on Multimedia 2018
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.
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation
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}.
