Techniques and standards for image, video, and audio coding
Techniques and standards for image, video, and audio coding
Transform Coding of Images
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
A simple and efficient hierarchical image coder
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
High-performance JPEG 2000 encoder with rate-distortion optimization
IEEE Transactions on Multimedia
Fast adaptive wavelet packet image compression
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Adaptive wavelet packet basis selection for zerotree image coding
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Vector SPIHT for embedded wavelet video and image coding
IEEE Transactions on Circuits and Systems for Video Technology
Efficient, low-complexity image coding with a set-partitioning embedded block coder
IEEE Transactions on Circuits and Systems for Video Technology
A Hybrid Image Coder Based on SPIHT Algorithm with Embedded Block Coding
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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In this paper, we propose an efficient method for rearranging the wavelet packet coefficients of an image to form hierarchical trees, by which the well known SPIHT algorithm can be applied. For images with textures, the high frequency wavelet coefficients are likely to become significant after several code passes of SPIHT, which degrades substantially the coding performance. As a result, the high frequency wavelet coefficients representing most of the high detail content of images need to be decomposed into wavelet packet coefficients for a further exploitation. The proposed rearrangement scheme has been applied to the highest frequency wavelet packet coefficients of images. Experimental results show that the performance of SPIHT can be improved, especially for fingerprint images.