Purdue ECE Researchers Excel in IEEE Transactions on Computational Imaging
Computational imaging is an emerging field emphasizing the co-design of image sensors and image processing algorithms. Its applications span from digital photography, magnetic resonance imaging, computed tomography, low-light vision, to the creation of the first black hole image. Founded in 2016, the IEEE Transactions on Computational Imaging is a flagship journal for the subject. Purdue ECE Prof. Charles A. Bouman is a founding member of the journal, and Prof. Stanley H. Chan is currently an associate editor of the journal.
The journal recently received its first journal impact factor (JIF) for the year 2018. The JIF of an academic journal is a scientometric index which reflects the yearly average number of citations to recent articles published in that journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. As a comparison, IEEE Transactions on Computational Imaging has a respectful impact compared to more well-established journals based on JIF:
IEEE Transactions on Image Processing: 6.790
IEEE Transactions on Signal Processing: 5.230
IEEE Transactions on Computational Imaging: 4.546
OSA Optics Express: 3.561
IEEE Signal Processing Letters: 3.268
SIAM Journal on Imaging Sciences: 2.514
According to the report, in 2018 Purdue University was the second largest contributor to IEEE Transactions on Computational Imaging, surpassing MIT, University of California, and University of Michigan. Among the top ten cited articles, Purdue has two:
Stanley H. Chan, Xiran Wang, and Omar Elgendy, ‘‘Plug-and-Play ADMM for image restoration: Fixed point convergence and applications’’, IEEE Transactions on Computational Imaging, vol. 3, no. 5, pp.84–98, Mar. 2017. Google Scholar Citation: 115
Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Gregery T. Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman, "Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation", IEEE Transactions on Computational Imaging, vol.2, no.4, pp. 408-423, Dec. 2016. Google Scholar Citations: 88
The IEEE Transactions on Computational Imaging publishes articles where computation plays an integral role in the image formation process. Papers cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.