TID2008 – A database for evaluation of full-reference visual quality assessment metrics
@inproceedings{Ponomarenko2004TID2008A, title={TID2008 – A database for evaluation of full-reference visual quality assessment metrics}, author={Nikolay N. Ponomarenko and Vladimir V. Lukin and Alexander A. Zelensky}, year={2004} }
In this paper, a new image database, TID2008, for evaluation of full-reference visual quality assessment metrics is described. It contains 1700 test images (25 reference images, 17 types of distortions for each reference image, 4 different levels of each type of distortion). Mean Opinion Scores (MOS) for this database have been obtained as a result of more than 800 experiments. During these tests, observers from three countries (Finland, Italy, and Ukraine) have carried out about 256000…
Figures and Tables from this paper
1,081 Citations
Image database TID 2013 : Peculiarities , results and perspectives
- Computer Science
- 2016
This paper describes a recently created image database, TID2013, intended for evaluation of full-reference visual quality assessment metrics, andMotivations for introducing 7 new types of distortions and one additional level of distortions are given; examples of distorted images are presented.
Image database TID2013: Peculiarities, results and perspectives
- Computer ScienceSignal Process. Image Commun.
- 2015
Image visual quality metrics verification by TID2013: Exploring of mean square error drawbacks
- Computer Science2014 5th European Workshop on Visual Information Processing (EUVIP)
- 2014
Modifications of known Spearman and Kendall ROCCs are proposed that take into account the fact that MOS for existing databases has been measured with a limited accuracy and is most certainly erroneous (contains “noise component”).
Merging of MOS of Large Image Databases for No-reference Image Visual Quality Assessment
- Computer Science2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)
- 2020
A simple and effective method of merging of several large databases into one database with transforming of their MOS into one scale is proposed and Merged MOS is used for practical training of no-reference metric.
No reference image quality classification for JPEG-distorted images
- Computer ScienceDigit. Signal Process.
- 2014
Analysis of TID2008 and LIVE databases
- Computer ScienceIEEE Conference Anthology
- 2013
Both TID2008 and LIVE databases are not well for image subjective quality assessment and the distributions of their parameters are not adequate andreasonable.
MDID: A multiply distorted image database for image quality assessment
- Computer SciencePattern Recognit.
- 2017
Combining full-reference image visual quality metrics by neural network
- Computer ScienceElectronic Imaging
- 2015
This work addresses a possibility of using neural networks for the aforementioned purpose of assessing full-reference visual quality of images by using metric sets for images of the database TID2013 that are employed as the network inputs.
CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms
- Computer ScienceIEEE Transactions on Image Processing
- 2015
A new database, CID2013, is presented, to address the issue of using no-reference (NR) image quality assessment algorithms on images with multiple distortions, and contains images used in the experiments with the full subjective data plus extensive background information from the subjects.
Full-Reference Image Quality Metrics Performance Evaluation Over Image Quality Databases
- Computer Science
- 2013
The visual information fidelity (VIF) quality metric has been found to have superior predictive capabilities to its counterparts and MS-SSIM, MSSIM and VIFP have also closer performances in terms of their correlation to the subjective human ratings, accuracy and monotonicity to the VIF model.
References
SHOWING 1-10 OF 24 REFERENCES
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
- Computer ScienceIEEE Transactions on Image Processing
- 2006
This paper presents results of an extensive subjective quality assessment study in which a total of 779 distorted images were evaluated by about two dozen human subjects and is the largest subjective image quality study in the literature in terms of number of images, distortion types, and number of human judgments per image.
A NEW FULL-REFERENCE QUALITY METRICS BASED ON HVS
- Computer Science
- 2006
Two new full-reference metrics for image quality assessment based on the Peak-Signal-to-Noise Ratio and Universal Quality Index modified to take into account the Human Visual System (HVS) properties are presented.
Image quality assessment: from error visibility to structural similarity
- Computer ScienceIEEE Transactions on Image Processing
- 2004
A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.
Image information and visual quality
- Computer Science2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
- 2004
This work proposes an information fidelity criterion that quantifies the Shannon information that is shared between the reference and distorted images relative to the information contained in the reference image itself, and demonstrates the performance of the algorithm by testing it on a data set of 779 images.
A universal image quality index
- Computer ScienceIEEE Signal Processing Letters
- 2002
Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
An information fidelity criterion for image quality assessment using natural scene statistics
- Computer ScienceIEEE Transactions on Image Processing
- 2005
This paper proposes a novel information fidelity criterion that is based on natural scene statistics and derives a novel QA algorithm that provides clear advantages over the traditional approaches and outperforms current methods in testing.
ISO 20462: a psychophysical image quality measurement standard
- PsychologyIS&T/SPIE Electronic Imaging
- 2003
This standard describes two novel perceptual methods, the triplet comparison technique and the quality ruler, that yield results calibrated in just noticeable differences (JNDs).
Image quality assessment based on a degradation model
- Computer ScienceIEEE Trans. Image Process.
- 2000
It is demonstrated how to decouple distortion and additive noise degradation in a practical image restoration system and the nonlinear NQM is a better measure of visual quality than peak signal-to noise ratio (PSNR) and linear quality measures.
Psycho-visual quality assessment of state-of-the-art denoising schemes
- Computer Science2006 14th European Signal Processing Conference
- 2006
The quality of 7 state-of-the-art denoising schemes based on human visual perception are compared and attributes such as the noisiness, bluriness and artefacts present in the denoised images allowed to determine why people choose one filter over the other.
Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms
- Computer Science1993 IEEE International Conference on Acoustics, Speech, and Signal Processing
- 1993
Comparison with psychovisual results indicates that the following factors significantly improve the performance of the CSF: incorporation of information about the printing device and the viewing conditions in the quantitative metric and utilization of a lowpass CSF instead of a bandpass one.