Orthogonal multifilters image processing of astronomical images from scanned photographic plates

TL;DR

This paper introduces orthogonal multifilters based on wavelets like Haar and Daubechies for processing astronomical images from scanned photographic plates, enhancing multiscale analysis capabilities.

Contribution

It presents new orthogonal multifilters leveraging multiwavelet theory, enabling improved image decomposition with multiple desirable properties.

Findings

Successful multifilter decomposition of astronomical images

Enhanced multiscale analysis with symmetry and orthogonality

Potential for improved astronomical image processing

Abstract

In this paper orthogonal multifilters for astronomical image processing are presented. We obtained new orthogonal multifilters based on the orthogonal wavelet of Haar and Daubechies. Recently, multiwavelets have been introduced as a more powerful multiscale analysis tool. It adds several degrees of freedom in multifilter design and makes it possible to have several useful properties such as symmetry, orthogonality, short support, and a higher number of vanishing moments simultaneously. Multifilter decomposition of scanned photographic plates with astronomical images is made.