Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement

@article{Reza2004RealizationOT,
  title={Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement},
  author={Ali M. Reza},
  journal={VLSI Signal Processing},
  year={2004},
  volume={38},
  pages={35-44}
}
Acquired real-time image sequences, in their original form may not have good viewing quality due to lack of proper lighting or inherent noise. For example, in X-ray imaging, when continuous exposure is used to obtain an image sequence or video, usually low-level exposure is administered until the region of interest is identified. In this case, and many other similar situations, it is desired to improve the image quality in real-time. One particular method of interest, which extensively is used… CONTINUE READING
Highly Influential
This paper has highly influenced 19 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 393 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 146 extracted citations

Retinal blood vessel segmentation using matched filter and Laplacian of Gaussian

2016 International Conference on Signal Processing and Communications (SPCOM) • 2016
View 6 Excerpts
Highly Influenced

Low Illumination Image Enhancement Algorithm Using Iterative Recursive Filter and Visual Gamma Transformation Function

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) • 2015
View 8 Excerpts
Highly Influenced

Adaptive Enhancement for Low-Contrast Color Images via Histogram Modification and Saturation Adjustment

2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) • 2018
View 4 Excerpts
Highly Influenced

Contrast Enhancement Based on Intrinsic Image Decomposition

IEEE Transactions on Image Processing • 2017
View 5 Excerpts
Highly Influenced

Image fusion-based contrast enhancement

EURASIP J. Image and Video Processing • 2012
View 11 Excerpts
Highly Influenced

Optimal Multilevel Thresholding for Image Segmentation Using Contrast-Limited Adaptive Histogram Equalization and Enhanced Convergence Particle Swarm Optimization

2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics • 2011
View 8 Excerpts
Highly Influenced

394 Citations

0204060'07'10'13'16'19
Citations per Year
Semantic Scholar estimates that this publication has 394 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Digital Image Processing

IEEE Transactions on Pattern Analysis and Machine Intelligence • 1981
View 5 Excerpts
Highly Influenced

Online Adaptive Histogram Equalization,

D. Martinez
Neural Networks for Signal Processing VIII, • 1998
View 1 Excerpt

and T

M. Csapod
Roska, “Adaptive Histogram Equalization with Cellular Neural Networks,” in Proceedings of the 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications, • 1996
View 1 Excerpt

T

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz
Greer, B.M. ter Haar Romeny, J.B. Zimmerman, and K. Zuiderveld, “Adaptive Histogram Equalization and its Variations,” Computer Vision, Graphics and Image Processing, vol. 39, • 1987
View 2 Excerpts

An Automatic Intensity Mapping for the Display of CT Scans and Other Images,

S. M. Pizer
Proceedings of the VIIth International Meeting on Information Processing in Medical Imaging, • 1983
View 2 Excerpts

Image Enhancement by Histogram Transformation,” Computer Vision, Graphics and Image Processing, vol

R. Hummel
6, • 1977
View 1 Excerpt

Similar Papers

Loading similar papers…