The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

@article{Gu2016TheAO,
  title={The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement},
  author={Ke Gu and Guangtao Zhai and Weisi Lin and Min Liu},
  journal={IEEE Transactions on Cybernetics},
  year={2016},
  volume={46},
  pages={284-297}
}
Proper contrast change can improve the perceptual quality of most images, but it has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, we in this paper first report a new large dedicated contrast-changed image database (CCID2014), which includes 655 images and associated subjective ratings recorded from 22 inexperienced observers. We then present a novel reduced-reference image quality metric for contrast change (RIQMC) using phase congruency… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 109 CITATIONS, ESTIMATED 93% COVERAGE

Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images

  • IEEE Transactions on Broadcasting
  • 2018
VIEW 14 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

No-Reference Image Quality Assessment Using Orthogonal Color Planes Patterns

VIEW 10 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Analysis of Distortion Distribution for Pooling in Image Quality Prediction

  • IEEE Transactions on Broadcasting
  • 2016
VIEW 11 EXCERPTS
CITES BACKGROUND

No-reference quality assessment for contrast-distorted image

  • 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)
  • 2016
VIEW 12 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

  • ArXiv
  • 2019
VIEW 14 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Ramp Distribution-Based Contrast Enhancement Techniques and Over-Contrast Measure

Seungyoun Lee, Changick Kim
  • IEEE Access
  • 2019
VIEW 10 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Full-Reference Quality Assessment of Contrast Changed Images Based on Local Linear Model

  • 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2018
VIEW 7 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2018
VIEW 18 EXCERPTS
CITES RESULTS, BACKGROUND & METHODS

FILTER CITATIONS BY YEAR

2015
2019

CITATION STATISTICS

  • 15 Highly Influenced Citations

  • Averaged 26 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 57 REFERENCES

Image database TID2013: Peculiarities, results and perspectives

  • Sig. Proc.: Image Comm.
  • 2015
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

A Linear Programming Approach for Optimal Contrast-Tone Mapping

  • IEEE Transactions on Image Processing
  • 2011
VIEW 11 EXCERPTS
HIGHLY INFLUENTIAL

Categorical Image Quality (CSIQ) Database

E. C. Larson, D. M. Chandler
  • 2009
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Image information and visual quality

  • IEEE Trans. Image Processing
  • 2006
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL