Image enhancement technique using mean quantization transforms and equalization

P. Eben Sophia., S. Aravindh, M. Chandru, N. Gowtham, K. S. Mukesh Kannan.

Research output: Contribution to journalArticlepeer-review

Abstract

In this examination, the picture contains compacted compelling extent that can be improved for knowing data. Complexity improvement of a specific picture is a capacity in picture handling field. Thus, we upgrade the distinctive sorts of picture by utilizing the histogram equalization (HE), Successive Means Quantization Transform (SMQT) and V-Transform utilizing MATLAB. At that point, we apply the histogram evening out on V-change channel of info picture subsequent to changing over the shading space from RGB to HSV. Contrasted with different strategies Histogram evening out calculation is the least difficult looking at all different methods, it has a wide difference of dark dimensions and isn't appropriate for various sorts of shading pictures. V-change calculation is a best alternative for shading pictures. The calculation is in a consecutive way and requires low processing force. Where SMQT calculation is non-straight.

Original languageEnglish
Pages (from-to)561-564
Number of pages4
JournalInternational Journal of Innovative Technology and Exploring Engineering
Volume8
Issue number8 S
Publication statusPublished - 06-2019

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Civil and Structural Engineering
  • Mechanics of Materials
  • Electrical and Electronic Engineering

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