A multi-transform approach to reversible embedded image compression

Several reversible wavelet transforms known to work well for image compression are introduced, and the classes of images for which the various transforms are effective are described. Then a multi-transform approach to reversible embedded image compression is proposed in which the decorrelating transform is selected on a per image basis using image-specific characteristics. Although the selection algorithm is extremely simple and has only modest computational requirements, results show that this new approach yields better compression performance than is possible with the use of a single fixed transform such as the S+P transform.