Image Coding with Adaptive Wavelet Packet Trees
Hsi‐Chin Hsin, Tze‐Yun Sung · 2008
Abstract—Embedded zero-tree image coding in the wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images ’ energy is concentrated in the low frequency subbands. For images with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. The middle and high frequency subbands of an image may demand a further decomposition with adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that the coding performance can be significantly improved especially for fingerprints images. Index Terms—adaptive wavelet packet transform, embedded zero-tree coding, SPIHT. I.