Image Enhancement based on Contrast Enhancement & Fuzzification Histogram Equalization and Comparison with Contrast Enhancement Techniques

Authors

  • Shubhanshi Gupta ASET, Amity University
  • Ashutosh Gupta ASET, Amity University
  • Gagan Minocha ASET, Amity University

DOI:

https://doi.org/10.24297/ijct.v7i2.3461

Keywords:

Histogram equalization, Image Enhancement, Fuzzy Logic, AMBE, PSNR

Abstract

Contrast Enhancement is a technique which comes into the part of Image Enhancement. Contrast Enhancement is used to enhance the visual quality of any captured or other image. Contrast Enhancement can be performed with the help of Histogram equalization (HE). In this technique, the image is collected in the gray scale allocation. The image is then partitioning and applying adaptive Histogram equalization (AHE). Fuzzy logic provides a set of logics which enhance the contrast and visibility of any image. In this technique, the visual quality and the contrast of image will change and then compare these results with previous techniques. The performance of several established image enhancement techniques is presented in terms of different parameters like Absolute mean brightness error (AMBE), Peak signal to noise ratio (PSNR), contrast and Visual quality.

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Author Biographies

Shubhanshi Gupta, ASET, Amity University

M.Tech Scholar

Ashutosh Gupta, ASET, Amity University

Assistant Professor

Gagan Minocha, ASET, Amity University

Assistant Professor

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Published

2013-06-05

How to Cite

Gupta, S., Gupta, A., & Minocha, G. (2013). Image Enhancement based on Contrast Enhancement & Fuzzification Histogram Equalization and Comparison with Contrast Enhancement Techniques. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 7(2), 594–599. https://doi.org/10.24297/ijct.v7i2.3461

Issue

Section

Research Articles