APPLICATION OF MULTITRANSFORMS FOR LOSSY IMAGE REPRESENTATION

The multitransform technique is applied for lossy image representation . The image is first divided into smaller non-overlapping submages. Ea ch subimage is resolved into two dimensional (2-D) subsignals, which a re then compactly represented in a particular transform domain. This l eads to an efficient representation of the subimage by superimposing t he dominant coefficients corresponding to each subsignal. An adaptive algorithm in conjunction with an optimization strategy are developed t o minimize the difference between the original and the reconstructed s ubimage. Extensive simulations verify that, for a given number of reta ined coefficients, the combination of the DCT and Haar transforms yiel ds a more compact representation than using DCT or Haar alone.