Similar Image Retrieval Based on Wavelet Transformation

In this paper, a novel similar image retrieval scheme based on wavelet transformation will be presented. Our scheme is built upon a block-based query system. Our new scheme employs the wavelet transformation technique to transform each block in the spatial domain to the wavelet domain. Then, from each transformed block, the mean value and the edge types are extracted. These extracted features are then used to compute the similarity between a query image and the images in the database. In order to increase the similarity in the query result, the current block can be further divided into many sub-blocks, and then features can be extracted from these sub-blocks. Finally, the query result will be a set of ranked images in the database with respect to the query. According to our experiment, the proposed scheme can obtain satisfactory results.