04903nam a22006015i 4500 978-981-97-1455-1 DE-He213 20251030112004.0 cr nn 008mamaa 240422s2024 si | s |||| 0|eng d 9789819714551 978-981-97-1455-1 10.1007/978-981-97-1455-1 doi TA1501-1820 TTB bicssc SCI053000 bisacsh TTB thema Computational Optical Imaging [electronic resource] : Principle and Technology / edited by Zhengjun Liu, Xuyang Zhou, Shutian Liu. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VIII, 415 p. 210 illus., 169 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advances in Optics and Optoelectronics, 2731-6017 Chapter 1: Introduction -- Chapter 2: Ghost imaging -- Chapter 3: Imaging methods based on compressed sensing -- Chapter 4: Computerized tomography -- Chapter 5: Computer generated holography -- Chapter 6: Non-line-of-sight imaging -- Chapter 7: Coded aperture imaging -- Chapter 8: Phase imaging -- Chapter 9: Light field camera -- Chapter 10: Adaptive optical imaging -- Chapter 11: Fluorescence imaging -- Chapter 12: Synthetic aperture imaging -- Chapter 13: Mask-modulated Lensless Imaging -- Chapter 14: Polarization imaging. This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical imaging and computing technology to achieve significant performance improvements, computational optical imaging has become an active research field in optics. It has given rise to the emerging of new concepts such as computational imaging, computational measurement and computational photography. As high-performance image detectors make image measurements discrete and digital, images are mostly recorded in the form of discrete data, almost replacing the continuous medium used for pattern recording. Computational optical imaging technology has become an effective way for people to study microscopic imaging. At present, different imaging systems are composed of continuous optical elements such as lenses and prisms or discrete optical elements such as spatial light modulators or digital micro-mirror devices. The current computing technology has permeated all aspects of imaging systems and gradually promotes the digitization of optical imaging systems. This book summarizes the representative work done in this field and introduces the latest results. Computing technology plays an important bridging role between theories of optics and experimental systems, which inspires more comprehensive and in-depth research. It has the advantages of high repeatability, flexibility, strong computing power and low cost. In this multidisciplinary field, researchers in computer science, optics and information science have joined together to extend its depth and breadth. Targeting cutting-edge issues to be solved in computational optics, this book introduces a variety of methods that involve theoretical innovations and technical breakthroughs in imaging resolution, the field of view, imaging speed, and computing speed. It intends to provide a handy reference and technical support for graduate students, researchers and professionals engaged in the study and practice of computational optical imaging. Optics. 66607 Materials Analysis. Imaging systems. 68001 Optoelectronic devices. Mathematics Data processing. 65715 Applied Optics. 66610 Imaging Techniques. 68003 Optoelectronic Devices. Computational Science and Engineering. 65717 Liu, Zhengjun. editor. edt http://id.loc.gov/vocabulary/relators/edt 75531 Zhou, Xuyang. editor. edt http://id.loc.gov/vocabulary/relators/edt 75532 Liu, Shutian. editor. edt http://id.loc.gov/vocabulary/relators/edt 75533 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819714544 Printed edition: 9789819714568 Printed edition: 9789819714575 Advances in Optics and Optoelectronics, 2731-6017 75534 https://doi.org/10.1007/978-981-97-1455-1 ZDB-2-PHA ZDB-2-SXP 59287 59287