Histogram Equalization: A Strong Technique for Image Enhancement

@article{Singh2015HistogramEA,
  title={Histogram Equalization: A Strong Technique for Image Enhancement},
  author={Ravindra Pal Singh and Manish Dixit},
  journal={International Journal of Signal Processing, Image Processing and Pattern Recognition},
  year={2015},
  volume={8},
  pages={345-352}
}
  • R. SinghM. Dixit
  • Published 31 August 2015
  • Computer Science
  • International Journal of Signal Processing, Image Processing and Pattern Recognition
Generally for improving contrast in digital images, HE is the method that commonly used but in result it gives unnatural artifacts like intensity saturation, over-enhancement and noise amplification. To overcome these problems there was a need to partition the image histogram, at first image histogram was partitioned into two parts and then different transformation functions were applied on each partition. After that image histogram was partitioned into many partitions and same process was… 

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References

SHOWING 1-9 OF 9 REFERENCES

Histogram Equalization Techniques For Image Enhancement

Comparative analysis of different enhancement techniques for contrast enhancement will be carried out on the basis of subjective and objective parameters.

A Comparative Analysis of Histogram Equalization based Techniques for Contrast Enhancement and Brightness Preserving

Histogram Equalization (HE) is a simple and effective image enhancement technique.But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not

Survey of Contrast Enhancement Techniques based on Histogram Equalization

This paper presents a review of new forms of histogram for image contrast enhancement, with the major difference among the methods in this family is the criteria used to divide the input histogram.

A Dynamic Histogram Equalization for Image Contrast Enhancement

A smart contrast enhancement technique that takes control over traditional histogram equalization for appropriate contrast enhancement of images without introducing any severe side affects such as washed out appearance, over-enhancement of some features and noises, checkerboard effects etc.

Digital Image Processing

  • R. GonzálezR. Woods
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1981
2. A sampled (but not quantized) image, whose brightness before quantization, in each spatial position, can take values in the range [0mV;250mV], has the linear histogram of its brightness

Contrast Limited Adaptive Histogram Equalization

Digital Image Processing, Third Edition

Sound / Processing.orgwww.iciap2021.org – International Conference on Image ImageProcessingPlaceGitHub BhanuPrakashNani/Image_Processing: Image matlab?? ??????????? ?????? ??_?? ...Fundamentals of

Jain,“Fundamentals of Digital Image Processing Englewood Cliffs,

  • NJ: Prentice Hall,
  • 1989