MP2020: Visual quality assessment database for macro photography images

[1]  Weisi Lin,et al.  A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures , 2017, IEEE Transactions on Industrial Electronics.

[2]  Lei Zhang,et al.  Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment , 2017, IEEE Signal Processing Magazine.

[3]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[4]  Zhibing Wang,et al.  HVS-based structural similarity for image quality assessment , 2008, 2008 9th International Conference on Signal Processing.

[5]  Ke Gu,et al.  No-Reference Quality Assessment of Screen Content Pictures , 2017, IEEE Transactions on Image Processing.

[6]  Ghassan Al-Regib,et al.  Perceptual Image Quality Assessment through Spectral Analysis of Error Representations , 2019, Signal Process. Image Commun..

[7]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[8]  Chu He,et al.  No-reference color image quality assessment: from entropy to perceptual quality , 2018, EURASIP Journal on Image and Video Processing.

[9]  Lei Zhang,et al.  RFSIM: A feature based image quality assessment metric using Riesz transforms , 2010, 2010 IEEE International Conference on Image Processing.

[10]  Sebastian Bosse,et al.  Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment , 2016, IEEE Transactions on Image Processing.

[11]  Hua Huang,et al.  No-reference image quality assessment based on spatial and spectral entropies , 2014, Signal Process. Image Commun..

[12]  Alan C. Bovik,et al.  A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms , 2006, IEEE Transactions on Image Processing.

[13]  Zhou Wang,et al.  Information Content Weighting for Perceptual Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

[14]  Alan C. Bovik,et al.  A Two-Step Framework for Constructing Blind Image Quality Indices , 2010, IEEE Signal Processing Letters.

[15]  David Zhang,et al.  FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

[16]  Weisi Lin,et al.  Visual quality assessment: recent developments, coding applications and future trends , 2013, APSIPA Transactions on Signal and Information Processing.

[17]  Zhou Wang,et al.  Multiscale structural similarity for image quality assessment , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[18]  Lei Zhang,et al.  Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index , 2013, IEEE Transactions on Image Processing.

[19]  Alan C. Bovik,et al.  No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.

[20]  Alan C. Bovik,et al.  Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.

[21]  Aladine Chetouani Full Reference Image Quality Assessment: Limitation , 2014, 2014 22nd International Conference on Pattern Recognition.

[22]  Nikolay N. Ponomarenko,et al.  A New Color Image Database TID2013: Innovations and Results , 2013, ACIVS.

[23]  Nikolay N. Ponomarenko,et al.  TID2008 – A database for evaluation of full-reference visual quality assessment metrics , 2004 .

[24]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.