A Wavelet Approach In Image Retrieval

Abstract

          This research presents a method for searching in an image database using a query image that is similar to the intended target. The query image would be an example image of the image being retrieved. This querying method is called as Query by Image Example. The searching algorithm of the research makes use of multiresolution wavelet decompositions of the query and database images. The coefficients of these decompositions are distilled into small signatures for each image. The querying metric that have been implemented in the research is based on research by Adam Finkelstein, Charles Jacobs, and David Salesinin on developing a multiresolution image querying algorithm. The respective image querying metric operates on these signatures. This metric essentially compares how many significant wavelet coefficients the query has in common with potential targets. The metric includes parameters that can be tuned, using a statistical analysis, to accommodate the kinds of image distortions found in different types of image queries. The resulting algorithm is simple, requires very little storage overhead for the database of signatures, and is fast enough to be performed on a standard image database.

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