EVALUATING THE PERFORMANCE OF DOMINANT BRIGHTNESS LEVEL BASED COLOR IMAGE ENHANCEMENT

Ramandeep Kaur, Prof. Rajiv Mahajan

Abstract: This paper has been defined the different techniques of image enhancement. Image enhancement has originated to be one of the most significant visualization applications for the reason that it has capability to improve the visibility of images. It improves the quality of poor images. Distinctive procedures have been projected so far for getting better the feature of the digital images. To improve picture superiority image enhancement can explicitly recover and bound some data accessible in the input image. This paper has evaluated the performance of dominant brightness level based image enhancement technique. By using image processing toolbox, the design and implementation has been done in MATLAB. The comparison among the dominant brightness level, histogram equalization and the adaptive histogram equalization has shown that the dominant brightness level outperforms over the histogram based image enhancement. Keywords: Enhancement, Histogram Equalization, Adaptive Histogram Equalization, Dominant Brightness Level, Human Visual Perception.

Title:	EVALUATING THE PERFORMANCE OF DOMINANT BRIGHTNESS LEVEL BASED COLOR IMAGE ENHANCEMENT
Author Name:	Ramandeep Kaur, Prof. Rajiv Mahajan
Abstract:	Abstract: This paper has been defined the different techniques of image enhancement. Image enhancement has originated to be one of the most significant visualization applications for the reason that it has capability to improve the visibility of images. It improves the quality of poor images. Distinctive procedures have been projected so far for getting better the feature of the digital images. To improve picture superiority image enhancement can explicitly recover and bound some data accessible in the input image. This paper has evaluated the performance of dominant brightness level based image enhancement technique. By using image processing toolbox, the design and implementation has been done in MATLAB. The comparison among the dominant brightness level, histogram equalization and the adaptive histogram equalization has shown that the dominant brightness level outperforms over the histogram based image enhancement. Keywords: Enhancement, Histogram Equalization, Adaptive Histogram Equalization, Dominant Brightness Level, Human Visual Perception.
Cite this article:	Ramandeep Kaur, Prof. Rajiv Mahajan , " EVALUATING THE PERFORMANCE OF DOMINANT BRIGHTNESS LEVEL BASED COLOR IMAGE ENHANCEMENT " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 4, July - August 2014 , pp. 139-145 , ISSN 2278-6856.
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