Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning
出版年份 2020 全文链接
标题
Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-01-02
DOI
10.1007/s00521-019-04694-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Robust reservoir rock fracture recognition based on a new sparse feature learning and data training method
- (2019) Fatemeh Taibi et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment
- (2018) Wen Sun et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Locality Reconstruction Models for Book Representation
- (2018) Haijun Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation
- (2018) Yutao Liu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Full-reference image quality assessment based on image segmentation with edge feature
- (2018) Zaifeng Shi et al. SIGNAL PROCESSING
- Ship Classification in SAR Images Using a New Hybrid CNN–MLP Classifier
- (2018) Foroogh Sharifzadeh et al. Journal of the Indian Society of Remote Sensing
- A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images
- (2016) Zeinab Tirandaz et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Image Sharpness Assessment by Sparse Representation
- (2016) Leida Li et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Color image quality assessment based on sparse representation and reconstruction residual
- (2016) Leida Li et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Gradient-based no-reference image blur assessment using extreme learning machine
- (2016) Shuigen Wang et al. NEUROCOMPUTING
- Supervised dictionary learning with multiple classifier integration
- (2016) Yuhui Quan et al. PATTERN RECOGNITION
- Full reference image quality metrics for JPEG compressed images
- (2015) Akshay Gore et al. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
- Fractal Analysis for Reduced Reference Image Quality Assessment
- (2015) Yong Xu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Fast Approach for No-Reference Image Sharpness Assessment Based on Maximum Local Variation
- (2014) Khosro Bahrami et al. IEEE SIGNAL PROCESSING LETTERS
- Sparse representation-based image quality assessment
- (2014) Tanaya Guha et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Sparse Feature Fidelity for Perceptual Image Quality Assessment
- (2013) Hua-Wen Chang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Perceptual image quality assessment using phase deviation sensitive energy features
- (2013) Ashirbani Saha et al. SIGNAL PROCESSING
- SSIM-Motivated Rate-Distortion Optimization for Video Coding
- (2011) Shiqi Wang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)
- (2011) N. D. Narvekar et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- FSIM: A Feature Similarity Index for Image Quality Assessment
- (2011) Lin Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Information Content Weighting for Perceptual Image Quality Assessment
- (2010) Zhou Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Most apparent distortion: full-reference image quality assessment and the role of strategy
- (2010) Damon M. Chandler JOURNAL OF ELECTRONIC IMAGING
- A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
- (2009) R. Ferzli et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now