Visualisation of an image is an important parameter in the area of image processing. To obtain the better visualisation contrast enhancement is one of the important techniques. Contrast of an image is easily upgraded by maximize the difference between the adjacent pixel values, that can be obtained by the traditional technique histogram equalisation but in that some disadvantages like noise amplification, over and under enhancement may be present in that technique because of the uniform histogram in an output image. In order to minimise the presence of noise in an output image our proposed technique uses filtering operation before the enhancement process so the final image will have better visual quality with minimum brightness error value.
Enhancing is the process can be done in many ways for obtaining more details from the images that can be attain by image extraction, contrast enhancement, denioising and dehazing are the various techniques for the image enhancement. In our paper the enhancement is obtain with the help of contrast enhancement technique. Improving the contrast is the process of introducing necessary difference between the pixel values of an input image to obtain more informative output image. The proposed algorithm is done by modifying the original image histogram and performs histogram equalization then the final image obtained by combining the histogram equalized image with DSIHE image.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.