Region based Image Contrast Enhancement Depending on Local Dominant Colour Component

In this paper, we propose an image contrast enhancement mechanism by analysing the dominant colour component of every contributory pixel. The contrast enhancement is performed on the regions having similar dominating colour components by employing local histogram equalization. The process ensures the increment of the colour purity by preserving the level of brightness which is a major drawback of histogram equalization-based methods. The proposed method provides satisfactory results without any learning mechanism applied in the system which reduces the execution time of the process as well. The proposed algorithm is formulated, experimented and tested on a large set of standard colour images, in RGB format, collected from various databases. We compare the proposed method with both standalone and learning based image enhancement algorithms from the literature. The comparative analysis establishes the efficacy of the proposed method.