Blind Quality Assessment of Camera Images Based on Low-Level and High-Level Statistical Features
暂无分享,去创建一个
Wen Gao | Yutao Liu | Debin Zhao | Shiqi Wang | Ke Gu | Debin Zhao | W. Gao | Ke Gu | Shiqi Wang | Yutao Liu | Wen Gao
[1] Ingrid Heynderickx,et al. A No-Reference Metric for Perceived Ringing Artifacts in Images , 2010, IEEE Transactions on Circuits and Systems for Video Technology.
[2] Weisi Lin,et al. Sparse Representation-Based Image Quality Index With Adaptive Sub-Dictionaries , 2016, IEEE Transactions on Image Processing.
[3] Zhou Wang,et al. A highly efficient method for blind image quality assessment , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[4] Karl J. Friston,et al. A free energy principle for the brain , 2006, Journal of Physiology-Paris.
[5] Alan C. Bovik,et al. Image information and visual quality , 2006, IEEE Trans. Image Process..
[6] Zhou Wang,et al. Reduced-Reference Image Quality Assessment Using Divisive Normalization-Based Image Representation , 2009, IEEE Journal of Selected Topics in Signal Processing.
[7] Zhou Wang,et al. Information Content Weighting for Perceptual Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[8] Shiqi Wang,et al. No-Reference Quality Assessment of Deblurred Images Based on Natural Scene Statistics , 2017, IEEE Access.
[9] Weisi Lin,et al. No-Reference Image Sharpness Assessment in Autoregressive Parameter Space , 2015, IEEE Transactions on Image Processing.
[10] Alan C. Bovik,et al. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality , 2011, IEEE Transactions on Image Processing.
[11] Lei Zhang,et al. A Feature-Enriched Completely Blind Image Quality Evaluator , 2015, IEEE Transactions on Image Processing.
[12] Ke Gu,et al. Quality Assessment of DIBR-Synthesized Images by Measuring Local Geometric Distortions and Global Sharpness , 2018, IEEE Transactions on Multimedia.
[13] Wen Gao,et al. Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation , 2017, IEEE Transactions on Multimedia.
[14] Stefan Winkler,et al. A no-reference perceptual blur metric , 2002, Proceedings. International Conference on Image Processing.
[15] Alan C. Bovik,et al. RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment , 2012, IEEE Transactions on Image Processing.
[16] Weisi Lin,et al. A Psychovisual Quality Metric in Free-Energy Principle , 2012, IEEE Transactions on Image Processing.
[17] Phong V. Vu,et al. A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation , 2012, IEEE Signal Processing Letters.
[18] Zhou Wang,et al. Image Sharpness Assessment Based on Local Phase Coherence , 2013, IEEE Transactions on Image Processing.
[19] Mikko Nuutinen,et al. CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms , 2015, IEEE Transactions on Image Processing.
[20] Zhou Wang,et al. Multiscale structural similarity for image quality assessment , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
[21] Ke Gu,et al. Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[22] Alan C. Bovik,et al. Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.
[23] Yutao Liu,et al. Quality assessment for real out-of-focus blurred images , 2015, J. Vis. Commun. Image Represent..
[24] Weisi Lin,et al. A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures , 2017, IEEE Transactions on Industrial Electronics.
[25] Lina J. Karam,et al. A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB) , 2009, IEEE Transactions on Image Processing.
[26] Ingrid Heynderickx,et al. Visual Attention in Objective Image Quality Assessment: Based on Eye-Tracking Data , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[27] Weisi Lin,et al. Saliency-Guided Quality Assessment of Screen Content Images , 2016, IEEE Transactions on Multimedia.
[28] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[29] Abdul Rehman,et al. Reduced-Reference Image Quality Assessment by Structural Similarity Estimation , 2012, IEEE Transactions on Image Processing.
[30] Yair Weiss,et al. Scale invariance and noise in natural images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[31] Karl J. Friston. The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.
[32] Xuelong Li,et al. Blind Image Quality Assessment via Deep Learning , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[33] Alan C. Bovik,et al. A Two-Step Framework for Constructing Blind Image Quality Indices , 2010, IEEE Signal Processing Letters.
[34] Alexandre G. Ciancio,et al. No-Reference Blur Assessment of Digital Pictures Based on Multifeature Classifiers , 2011, IEEE Transactions on Image Processing.
[35] Hongyu Li,et al. VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment , 2014, IEEE Transactions on Image Processing.
[36] Christophe Charrier,et al. Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain , 2012, IEEE Transactions on Image Processing.
[37] Alan C. Bovik,et al. Perceptual quality prediction on authentically distorted images using a bag of features approach , 2016, Journal of vision.
[38] Lina J. Karam,et al. A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD) , 2011, IEEE Transactions on Image Processing.
[39] Wenjun Zhang,et al. Structural similarity weighting for image quality assessment , 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).
[40] Weisi Lin,et al. No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments , 2016, IEEE Transactions on Cybernetics.
[41] Yutao Liu,et al. Perceptual image quality assessment combining free-energy principle and sparse representation , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).
[42] Shiqi Wang,et al. Perceptual quality evaluation for image defocus deblurring , 2016, Signal Process. Image Commun..
[43] Wenjun Zhang,et al. Deep learning network for blind image quality assessment , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[44] Ingrid Heynderickx,et al. A Perceptually Relevant No-Reference Blockiness Metric Based on Local Image Characteristics , 2009, EURASIP J. Adv. Signal Process..
[45] Wenjun Zhang,et al. Using Free Energy Principle For Blind Image Quality Assessment , 2015, IEEE Transactions on Multimedia.
[46] Alan C. Bovik,et al. No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.
[47] Bo Hu,et al. No-reference quality assessment of compressive sensing image recovery , 2017, Signal Process. Image Commun..
[48] Wenjun Zhang,et al. Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images , 2014, IEEE Transactions on Broadcasting.
[49] David Zhang,et al. FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[50] M. .. Moore. Statistical Mechanics: A Set of Lectures , 1974 .
[51] Ingrid Heynderickx,et al. Studying the added value of visual attention in objective image quality metrics based on eye movement data , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[52] Lei Zhang,et al. Learning without Human Scores for Blind Image Quality Assessment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Zhou Wang,et al. Quality-aware images , 2006, IEEE Transactions on Image Processing.
[54] Nikolay N. Ponomarenko,et al. Color image database TID2013: Peculiarities and preliminary results , 2013, European Workshop on Visual Information Processing (EUVIP).
[55] Weisi Lin,et al. Image Sharpness Assessment by Sparse Representation , 2016, IEEE Transactions on Multimedia.