Advertisement
Published in:
2005 | OriginalPaper | Chapter
SPIHT Algorithm Based on Fast Lifting Wavelet Transform in Image Compression
Authors : Wenbing Fan, Jing Chen, Jina Zhen
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper presents the improved algorithm according to image compression technology to pledge the real time of the image transmission and gain the high compression ratio under the image quality. The improved SPIHT image coding algorithm based on fast lifting wavelet transform presents fast lifting wavelet transform to improve trasform course, because of many consecutive zero appearing in SPIHT quantification coding, adopting the simultaneous encoding of entropy and SPIHT. Entropy coding adopts run-length-changeable coding. Experiment results show that encoding by this method can improve PSNR and efficiency. This method can apply in the image data transmission and storage of remote image surveillance systems.