International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 111 - Number 17 |
Year of Publication: 2015 |
Authors: Sonal Sharma, Avani Bhatia |
10.5120/19757-1410 |
Sonal Sharma, Avani Bhatia . Contrast Enhancement of an Image using Fuzzy Logic. International Journal of Computer Applications. 111, 17 ( February 2015), 14-20. DOI=10.5120/19757-1410
Image enhancement plays a significant role in vision applications. Many techniques have been proposed so far for enhancing the images. It has been found that the most of the existing techniques are based upon the transform domain methods; which may introduce the color artefacts and also may reduce the intensity of the input remote sensing image. To overcome this problem a modified approach is introduced in this research work. The new integrated approach has the capability to enhance the contrast in digital images in efficient manner by using the modified fuzzy based enhancement algorithm. Modified fuzzy image enhancement has integrated image gradients with input image for image enhancement. After image enhancement using modified fuzzy based algorithms the color normalization has come in action to reduce color artefacts. In order to evaluate the significant improvement of the proposed various well known images has been selected for experimental results. The experimental results have shown that the proposed technique has quite effective improvement over the available techniques.