Color Compensation Based Fusion for Enhancement of Weakly Artitifical Illuminated Indoor Images

Abstract

In this article, a new approach is introduced to enhance the weakly artificial illuminated indoor images by blending three color compensated versions obtained by Color Equalization (CE), Color Mixing (CM) and Gray-World (GW) methods. This method ignores the disadvantages of blue dominancy, green dominancy and black artefacts results respectively due to CE, GW and CM and this forms prior for this fusion approach. To fuse the advantages of all three enhanced versions of low illuminated images, the multi-scale image fusion technique is employed. To get the information of background scenes, contrast limited adaptive histogram equalization (CLAHE) is applied to the blended image. The experimental results illustrate that the approach proposed in this work outperforms the existing methods.