Polyharmonic Daubechies type wavelets in Image Processing and Astronomy, II
arXiv:1006.57397 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis
Provides a new wavelet method for image processing in astronomy, offering improved compression over existing approaches.
The paper applies polyharmonic Daubechies-type wavelets to astronomical image processing, demonstrating essential advantages over standard multivariate wavelets and potential for better compression.
We consider the application of the polyharmonic subdivision wavelets (of Daubechies type) to Image Processing, in particular to Astronomical Images. The results show an essential advantage over some standard multivariate wavelets and a potential for better compression.