Parallel Image Compression and Analysis with Wavelets
This paper presents image compression with wavelet based method. The wavelet transformation divides image to low- and high pass filtered parts. The traditional JPEG compression technique requires lower computation power with feasible losses, when only compression is needed. However, there is obvious need for wavelet based methods in certain circumstances. The methods are intended to the applications in which the image analyzing is done parallel with compression. Furthermore, high frequency bands can be used to detect changes or edges. Wavelets enable hierarchical analysis for low pass filtered sub-images. The first analysis can be done for a small image, and only if any interesting is found, the whole image is processed or reconstructed.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058361Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1391
 M. L. Hilton, B. D. Jawerth and A. Sengupta. Compressing Still and Moving Images with Wavelets, Multimedia Systems, volume 2, issue 5, Springer-Verlag New York, Inc, 1994.
 A. Manduca, Compressing images with wavelet/subband coding, Engineering in Medicine and Biology Magazine, IEEE, volume: 14, issue: 5, pages 639-646, 1995.
 S. T. Welstead, Fractal and Wavelet Image Compression Techniques,SPIE Optical Engineering Press, 1999.
 X. Zixiang, K. Ranchandran, M. T. Orchard and Z. Ya-Qin, A comparative study of DCT and wavelet based coding, Circuits and Systems, ISCAS '98. Proceedings of the 1998 IEEE International Symposium, volume: 4, pages 273-276, 1998.