Blurred Image Comparison Search Engine Based On Discrete Cosine Transformation

摘要

In this cyberspace era, it is "the" thing to be able to transmit and receive information. Daily, search engines have been fully exploited by users in search of just any kinds of information. Most search engines are text format and do not provide adequate searches for images. In this paper, we propose a scheme to an image oriented search engine. Images will undergo discrete cosine transformation (DCT) from the spatial domain to the frequency domain. The low and middle frequency domains will then be used to construct two levels of eigenvalue comparisons. Test results showed that users could effectively search images from the image database using our scheme.