Block
Reordering Wavelet Packet
SPIHT
Image Coding
Abstract
The
set partitioning in hierarchical trees (SPIHT) coding algorithm, proposed by
Said and Pearlman, provides effective progressive and embedding property.
However, for images with high energy that is randomly dispersed throughout high
frequency subbands in the wavelet domain, the SPIHT does not fully exploit
energy compaction of the wavelet transform and thus becomes less efficient to
represent these images. This paper presents an energy compaction method, block
reordering wavelet packet SPIHT (BRWP-SPIHT) coding, to enhance the image visual
quality. The block reordering technique divides the wavelet coefficients into
blocks and reorders these blocks based on the significance of each block.
The simulation results show that BRWP-SPIHT is superior, on average, to SPIHT by
0.6 dB for texture rich images. Subjectively, it also shows significant
enhancement to the quality of the reconstructed image, particularly for images
with fractal and oscillatory patterns.