Compressed sensing of astronomical images:orthogonal wavelets domains
Vasil Kolev
TL;DR
This paper explores the use of orthogonal wavelets in compressed sensing for astronomical images, comparing algorithms and identifying optimal wavelet choices for image compression of scanned photographic plates.
Contribution
It introduces a simple approach for orthogonal wavelets in CS and determines the best wavelet for astronomical image compression from scanned photographic plates.
Findings
Optimal orthogonal wavelet for SPP image compression identified
Image quality measures for linear and nonlinear compression defined
Comparison of algorithms for different wavelet measurement matrices
Abstract
A simple approach for orthogonal wavelets in compressed sensing (CS) applications is presented. We compare efficient algorithm for different orthogonal wavelet measurement matrices in CS for image processing from scanned photographic plates (SPP). Some important characteristics were obtained for astronomical image processing of SPP. The best orthogonal wavelet choice for measurement matrix construction in CS for image compression of images of SPP is given. The image quality measure for linear and nonlinear image compression method is defined.
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Taxonomy
TopicsImage and Signal Denoising Methods · Sparse and Compressive Sensing Techniques · CCD and CMOS Imaging Sensors