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Wavelet-Based Multiresolution Matching for Content-Based Image Retrieval

In this paper, a content-based image retrieval method based on the wavelet transform is proposed. In the image database establishing phase, each image is first transformed from the standard RGB color space to the YUV space; then Y component of the image is further transformed to the wavelet domain. After the kth level wavelet decomposition, a series of low-pass subimages with different resolution level are obtained. In the image retrieving phase, the system compares these subimages of the query image and those of the images in the database and find out good matches. Through the combination of the features with different resolution level, we can not only obtain the better precision rate but also the good reduction rate. We have performed experiments on a thousand images database and the results support our approach.