Image representation based on cosine crossings of wavelet decompositions

Prasanjit Panda; Michael L. Hilton; Bjorn D. Jawerth; Wim Sweldens

doi:10.1117/12.217591

1 September 1995 Image representation based on cosine crossings of wavelet decompositions

Prasanjit Panda, Michael L. Hilton, Bjorn D. Jawerth, Wim Sweldens

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217591
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

The sampling theorem of Bar-David provides an implicit representation of bandlimited signals using their crossings with a cosine function. This cosine function is chosen in a way that guarantees a unique representation of the signal. Previously, we extended Bar-David's theorem to periodic functions on an interval, leading to a multiplicative representation involving a Riesz product whose roots form a unique and stable representation of the signal. We also presented numerical algorithms for the analysis and synthesis of 1D signals. In this paper, we extend our previous results by developing algorithms for 2D signals and incorporating the wavelet transform into the cosine crossing representation.

Citation Download Citation

Prasanjit Panda, Michael L. Hilton, Bjorn D. Jawerth, and Wim Sweldens "Image representation based on cosine crossings of wavelet decompositions", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217591

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