Quantization Opportunities for Polyharmonic Subdivision Wavelets Applied to Astronomical Images
arXiv:1204.39944 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis
For researchers in wavelet-based image compression, this provides preliminary distribution analysis but is incremental.
This paper studies the distribution of wavelet coefficients from polyharmonic subdivision wavelets on the Lena image and astronomical images to inform quantization algorithms. No concrete performance numbers are reported.
We continue the study of a new family of multivariate wavelets which are obtained by "polyharmonic subdivision". We provide the results of experiments considering the distribution of the wavelet coefficients for the Lena image and for astronomical images. The main purpose of this investigation is to find a clue for proper quantization algorithms.