Intelligent Based Image Enhancement using Direct and In-Direct Contrast Enhancement Techniques – A Comparative Survey
International Journal of Signal Processing, Image Processing and Pattern Recognition
The main goal of Image enhancement is to enhance the fine details present in the images having low luminance for better image quality. It can be classified into two categories namely: Direct Contrast Enhancement and In-Direct Contrast Enhancement. Histogram Equalization (HE) is one of the most prominent In-Direct contrast enhancement technique used for contrast enhancement in digital image processing. More specifically, we categorize In-Direct contrast enhancement techniques based on the input
... istogram partitioning criteria. For some methods, separation/partition point is based on the meanaverage or median intensity values. A comparative survey is carried out in this paper, explaining different Direct and In-Direct Contrast Enhancement techniques based on local and Global contrast measurements along with their advantages and disadvantages. Overall the paper contributes to classify and compare the filter based, Intelligent based, Fuzzy Logic based contrast enhancements among various available techniques described. Comparison using Linear index of fuzziness and Absolute Mean Brightness Error (AMBE) helps to evaluate an active research, significantly decide on a suitable algorithm and provide a promising direction towards future research on image enhancement.