Comparative Analysis of Image Enhancement Techniques

Abstract

the image enhancement techniques plays significant role in vision processing. Many techniques have been proposed so far to improve the results but none has preferred well for every kind of images. The review has shown that the Global histogram Equalization shows results with unwanted effects since the power quantities with significant probabilities often become over-enhanced and the levels with minimal probabilities get less enhanced and their wavelengths acquire either reduced and even removed in the resultant graphic. Due to the present the data laid about the histogram on the image will likely be lost. Adaptive histogram equalization shows better form a contrast over some other part of the graphic. The offered technique enhance the contrast on the images with no introducing unwanted artifacts of which decrease this visual artifacts of your image and make it have the unnatural search.

Authors and Affiliations

Harpreet Kaur, Er. Samandeep Singh

Keywords

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  • EP ID EP22491
  • DOI -
  • Views 242
  • Downloads 5

How To Cite

Harpreet Kaur, Er. Samandeep Singh (2016). Comparative Analysis of Image Enhancement Techniques. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(8), -. https://www.europub.co.uk/articles/-A-22491