Paper
18 April 2006 Spatially adaptive DWT for image compression
Jaromír Schindler, Petr Páta
Author Affiliations +
Proceedings Volume 6180, Photonics, Devices, and Systems III; 618021 (2006) https://doi.org/10.1117/12.675850
Event: Photonics, Devices, and Systems III, 2005, Prague, Czech Republic
Abstract
Image compression algorithms based on the discrete wavelet transform are nowadays very popular for their power and other properties. However, classical decomposition of the image with one static mother wavelet is generally far from optimal. This paper introduces a lossless still image compression method based on spatially adaptive wavelet transform, where the mother wavelet is varying along the signal to achieve better energy conservation. The decision-making process, which is responsible for mother wavelet selection, works in dependence on local pixel values and internal statistics. New mother wavelet is determined for every coded pixel (deccorelation step). The preliminary results of this method on several images of different types show, that the compression ratio of proposed method is comparable to the JPEG2000 algorithm with static 5/3 wavelet filter. Our intention is to apply this new adaptive method to the compression of astronomical images and optimize carefully the decision-making process according to this type of images. Since these images have very specific properties, we expect that our method will overcome JPEG2000 and also recent compression algorithms used in astronomy (HCompress, PMT or FITPRESS).
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaromír Schindler and Petr Páta "Spatially adaptive DWT for image compression", Proc. SPIE 6180, Photonics, Devices, and Systems III, 618021 (18 April 2006); https://doi.org/10.1117/12.675850
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Wavelets

Discrete wavelet transforms

Astronomy

Stars

Computer programming

JPEG2000

Back to Top