Image Compression Using Wavelet Packet Tree

Abstract

Abstract—Methods of compressing data prior to storage and transmission are of significant practical and commercial interest. The necessity in image compression continuously grows during the last decade. The image compression includes transform of image, quantization and encoding. One of the most powerful and perspective approaches in this area is image compression using discrete wavelet transform. This paper describes a new approach called as wavelet packet tree for image compression. It constructs the best tree on the basis of Shannon entropy. This new approach checks the entropy of decomposed nodes (child nodes) with entropy of node, which has been decomposed (parent node) and takes the decision of decomposition of a node. In addition, authors have proposed an adaptive thresholding for quantization, which is based on type of wavelet used and nature of image. Performance of the