Wavelets and Waves in Optical Signal Preprocessing
Wavelets are versatile tools in signal analysis and representation, complementing existing tools from harmonic analysis. In recent years, an upsurge of interest in wavelet methods influenced the area of image processing. Wavelet techniques combine traditional methods from imaging and harmonic analysis, thus yealding powerful and efficient algorithms for various applications.
KeywordsMultiresolution Analysis Riesz Basis Spatial Light Modulator Biorthogonal Wavelet Arithmetic Code
Unable to display preview. Download preview PDF.
- 1.H. Aagedal, Th. Beth, J. Müller-Quade, and M. Schmid. Algorithmic design of diffractive optical systems for information processing. Submitted to: PhysComp96, Boston, November 1996.Google Scholar
- 2.H. Aagedal, Th. Beth, H. Schwarzer, and S. Teiwes. Modern concepts for computeraided design in diffractive optics. In G. W. Forbes, editor, OSA Proceedings of the International Optical Design Conference, volume 22, pages 257–260. Optical Society of America, Washington DC), 1994.Google Scholar
- 4.R. W. Gerchberg and W. O. Saxton. A practical algorithm for the determination of phase from image and diffraction plane pictures. Optik, 35:237–246, 1972.Google Scholar
- 6.J. P. Kahane and P.-G. Lemarié-Rieusset. Fourier Series and Wavelets, volume 3 of Studies in the Development of Modern Mathematics. Gordon and Breach Publishers, 1995.Google Scholar
- 8.A. K. Louis, P. Maaß, and A. Rieder. Wavelets. Teubner, 1994.Google Scholar
- 9.F. May, A. Klappenecker, V. Baumgarte, A. Nückel, and T. Beth. A high throughput multiplication free approximation to arithmetic coding. To appear in: Proceedings 1996 International Symposium on Information Theory and Its Applications, 1996.Google Scholar