IDEWEP: Web service for astronomical parallel image deconvolution

• Published in: Journal of network and computer applications Vol. 32; no. 1; pp. 293 - 313
• Main Authors: Almeida, Francisco, Blanco, Vicente, Delgado, Carlos, de Sande, Francisco, Santos, Adrián
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2009; Elsevier
• Subjects: Applied sciences; Artificial intelligence; Astronomical; Computer science; control theory; systems; Deconvolution; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Image processing; Information, signal and communications theory; Interconnected networks; Networks and services in france and abroad; Parallel; Pattern recognition. Digital image processing. Computational geometry; Signal and communications theory; Signal processing; Signal, noise; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Web service; Astronomical; Deconvolution; Parallel; Image; Web service; High performance; Parallel algorithm; Astrophysics; Downloading; Image processing; Astronomical observation; Parallel architectures; Image restoration; Network service; Open source software; Image quality; Coding; World wide web; Open market; Parallelization
• ISSN: 1084-8045; 1095-8592
• DOI: 10.1016/j.jnca.2008.02.005

Image restoration is a significant process commonly applied in many research fields. In particular, image deconvolution algorithms play a very important role in the research methodology in astrophysics, where recorded images are frequently submitted to deconvolution processes. In this paper, we introduce a novel image deconvolution algorithm that is competitive in terms of the restored image quality when compared to classical approaches. We present parallelizations of this algorithm to make it competitive in terms of processing speeds as well. We also present the image deconvolution web portal (IDEWEP) that, using web services technologies, primarily aims to make this general parallel deconvolution method accessible through a web interface. Both the quality of the restored images and running times of the sequential and parallel version have been successfully tested in several sequential and parallel architectures. The IDEWEP portal greatly eases the access and use of the parallel algorithm in high performance architectures. As a contribution to the scientific community, open source sequential and parallel codes are provided and can be freely downloaded from our web portal.