Contrast is the visual contrast that helps an object stand out from surrounding objects and the backdrop. Nowadays on many occasions, images are captured in hurry manner which results in blurred and low quality images. To make things in the scene more visible, alter the relative brightness and darkness of the objects in the scene, present an enhanced type-II fuzzy set-based method. This technique plays a vital role in bringing out the information that exists within low dynamic range of that gray-level images. The developed algorithm is preferable over type-I fuzzy set as type-II traditional fuzzy logic type-I struggles to model levels of uncertainty, whereas fuzzy logic systems do. Compared to type-I fuzzy sets, this additional dimension provides more degrees of freedom for a better representation of uncertainty. The algorithm uses various upper and lower ranges, a gamma correction technique based on transforms and amended Hamacher t-conorm in order to get enhanced images. The proposed algorithm the most effectively of the comparison techniques, in processing various color and gray scale images. The process of algorithm shall be computed using MATLAB programming language.