Estimation of noise in images: an evaluation
CVGIP: Graphical Models and Image Processing
Estimation of edge parameters and image blur using polynomial transforms
CVGIP: Graphical Models and Image Processing
An objective measure for perceived noise
Signal Processing
Perceptual quality metrics applied to still image compression
Signal Processing - Special issue on image and video quality metrics
A survey of hybrid MC/DPCM/DCT video coding distortions
Signal Processing - Special issue on image and video quality metrics
Issues in vision modeling for perceptual video quality assessment
Signal Processing
User-oriented QoS analysis in MPEG-2 video delivery
Real-Time Imaging - Special issue on real-time digital video over multimedia
A single-ended blockiness measure for JPEG-Coded images
Signal Processing
No-reference JPEG-image quality assessment using GAP-RBF
Signal Processing
Content-aware scalability-type selection for rate adaptation of scalable video
EURASIP Journal on Applied Signal Processing
No-reference image quality assessment based on DCT domain statistics
Signal Processing
No-reference noticeable blockiness estimation in images
Image Communication
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
Detectability and Annoyance of Synthetic Blocky, Blurry, Noisy, and Ringing Artifacts
IEEE Transactions on Signal Processing
Quality monitoring of video over a packet network
IEEE Transactions on Multimedia
Modeling packet-loss visibility in MPEG-2 video
IEEE Transactions on Multimedia
Perceptual Temporal Quality Metric for Compressed Video
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
No-Reference Estimation of the Coding PSNR for H.264-Coded Sequences
IEEE Transactions on Consumer Electronics
Image compression via joint statistical characterization in the wavelet domain
IEEE Transactions on Image Processing
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
IEEE Transactions on Image Processing
Quality Evaluation of Motion-Compensated Edge Artifacts in Compressed Video
IEEE Transactions on Image Processing
Modeling and subjective assessment of cell discard in ATM video
IEEE Transactions on Image Processing
Correction of intensity flicker in old film sequences
IEEE Transactions on Circuits and Systems for Video Technology
A study of real-time packet video quality using random neural networks
IEEE Transactions on Circuits and Systems for Video Technology
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Flicker correction for archived film sequences using a nonlinear model
IEEE Transactions on Circuits and Systems for Video Technology
Fast and reliable structure-oriented video noise estimation
IEEE Transactions on Circuits and Systems for Video Technology
A method of estimating coding PSNR using quantized DCT coefficients
IEEE Transactions on Circuits and Systems for Video Technology
A scalable wavelet-based video distortion metric and applications
IEEE Transactions on Circuits and Systems for Video Technology
A Real-Time Technique for Spatio–Temporal Video Noise Estimation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Sparse correlation coefficient for objective image quality assessment
Image Communication
QoE management for video conferencing applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Non-reference audio quality assessment for online live music recordings
Proceedings of the 21st ACM international conference on Multimedia
Hi-index | 0.00 |
This paper reviews the basic background knowledge necessary to design effective no-reference (NR) quality estimators (QEs) for images and video. We describe a three-stage framework for NR QE that encompasses the range of potential use scenarios for the NR QE and allows knowledge of the human visual system to be incorporated throughout. We survey the measurement stage of the framework, considering methods that rely on bitstream, pixels, or both. By exploring both the accuracy requirements of potential uses as well as evaluation criteria to stress-test a QE, we set the stage for our community to make substantial future improvements to the challenging problem of NR quality estimation.