Abstract. The research study presented in this paper, focuses on the problems and lacunas of existing image inpainting techniques and shows how proposed approach will prove to be a curing syrup to diseased concepts, available so far for image inpainting. Since, the paper is highlighting image inpainting technique's drawbacks so the former part discusses what actually image inpainting technique means and where this great revolutionary need have its implementations and applications in the real world. Further, the purpose of image inpainting with various existing and latest algorithms/methods which are available so far, to inpaint an image are highlighted as a part of literature survey. The prime focus is to discuss, the innovative approach of the authors to remove disadvantage of existing image inpainting techniques i.e. if an object is small in size and is hidden behind a bigger object then by available inpainting techniques it is next to impossible to generate the image of hidden object as if bigger front object is selected as target region, then whole object along with the hidden object (behind bigger object) will also be removed during the time of object removal phase of inpainting. So, in final phase of paper, various descriptive images and live examples, methodology of whole proposed technology and self-proposed algorithms are discussed to remove this lacuna of the available inpainting techniques. Besides all, the resultant image will have the bigger front object getting transparent and only hidden smaller object as visible on the background image by implementation of proposed concept.