With the advancement of modern sensing and imaging technologies, people can acquire measurements more effectively and efficiently for data of various modalities. Meanwhile, the new imaging technologies also bring challenges for the corresponding signal processing systems, in order to achieve high-quality image reconstruction and rendering. To fully utilize the advanced imaging schemes, we need smart signal processing methodologies. In this paper, we will cover some recent trends on techniques for high dynamic range (HDR) imaging, compressed sensing, computational imaging, as well as the image recovery methods with data-driven regularizers. Related works and examples are presented, to illustrate new problems and challenges of signal processing in the context of modern sensing systems.
CITATION STYLE
Wen, B., & Su, G. M. (2018). When smart signal processing meets smart imaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11010 LNCS, pp. 171–182). Springer Verlag. https://doi.org/10.1007/978-3-030-04375-9_15
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