• Corpus ID: 29123652

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… 

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    ArXiv
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Combining full-reference image visual quality metrics by neural network

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References

SHOWING 1-10 OF 24 REFERENCES

A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

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

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

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

  • H. SheikhA. Bovik
  • Computer Science
    2004 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

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

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

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

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

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

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.