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Comparative Study of Different Color Normalization and Contrast Enhancement Techniques

Author(s):

Rajiv Ranjan , Tesco Bengaluru

Keywords:

Contrast Enhancement Techniques, Color Normalization

Abstract

Image enhancement goes for enhancing the nature of picture for better perception. The objective of color and contrast enhancement, as a rule, is to give an all the more engaging picture or video with clear hues and clarity of subtle elements. These improvements are personally identified with distinctive properties of visual sensation. It is essential to characterize these qualities before examining the goals of shading and complexity upgrade, or the different strategies to accomplish them. To achieve this, we propose several algorithms for color normalization. Four such algorithms have been discussed in the paper namely Gray World Assumption, Retinex Theory, Diagonal Theory and Quadratic Mapping of Intensities. Also, three Contrast Enhancement techniques have been talked about. They are Histogram Equalization Algorithm, Contrast Stretching algorithm, Local Enhancement Using Histogram Statistics, and Colour Deconvolution. Also, it has been demonstrated that which algorithm works better in which scenario. The objective of contrast enhancement is to build the visibility of subtle elements that might be darkened by insufficient worldwide and nearby lightness.

Other Details

Paper ID: IJSRDV3I120500
Published in: Volume : 3, Issue : 12
Publication Date: 01/03/2016
Page(s): 507-512

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