Publication Type : Conference Proceedings
Publisher : Communications in Computer and Information Science
Source : Eco-friendly Computing and Communication Systems Communication in Computer and Information Science (Springer), Vol 305, pp 108-116, 2012 (Scopus)
ISBN : 9783642321115
Keywords : Algorithms, Astronomical images, Communication systems, Comparative studies, Compression scheme, Compressive sensing, Environmental protection, Nyquist sampling, Objective measure, Original images, Prior information, Processing method, Signal reconstruction
Campus : Bengaluru, Coimbatore
School : Department of Computer Science and Engineering, School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN), Computer Science, Electronics and Communication
Verified : Yes
Year : 2012
Abstract : Compressed sensing(CS) which serves as an alternative to Nyquist sampling theory, is being used in many areas of applications. In this paper, we applied recent compressed sensing algorithm such as DALM, FISTA and Split-Bregman on astronomical images. In astronomy, physical prior information is very crucial for devising effective signal processing methods. We particularly point out that CS-based compression scheme is flexible enough to account for such information. We try to compare these algorithms using objective measures like PSNR, MSE et al. With these measures we intend to verify the image quality of reconstructed and original images. © 2012 Springer-Verlag.
Cite this Research Publication : Nidhin PTV, Hemanth VK, Sachin Kumar S, KP Soman, Arun S, Comparative Study of Recent Compressed Sensing Methodologies in Astronomical Images, Eco-friendly Computing and Communication Systems Communication in Computer and Information Science (Springer), Vol 305, pp 108-116, 2012 (Scopus)