  With the development of Information and Communication Technologies and the
dissemination of smartphones, especially now that image search is possible
through the internet, e-commerce markets are more activating purchasing
services for a wide variety of products. However, it often happens that the
image of the desired product is impaired and that the search engine does not
recognize it properly. The idea of this study is to help search for products
through image restoration using an image pre-processing and image inpainting
algorithm for damaged images. It helps users easily purchase the items they
want by providing a more accurate image search system. Besides, the system has
the advantage of efficiently showing information by category, so that enables
efficient sales of registered information.
