000			01875 a2200205 4500
005			20251209122621.0
008			241212b |||||||| |||| 00| 0 eng d
020			_a9789390658756
082			_a621.36 _bKhaF2
100			_aKhare, Kedar
245			_aFourier Optics and Computational Imaging [2nd Ed.] / _cKedar Khare, Mansi Butola and Sunaina Rajora
250			_a2nd Ed.
260			_aDarya Ganj : _bAne Books, _cc2022.
300			_axiii, 302p.
520			_aThe book is designed to serve as a textbook for advanced undergraduate and graduate students enrolled in physics and electronics and communication engineering and mathematics. The book provides an introduction to Fourier optics in light of new developments in the area of computational imaging over the last couple of decades. There is an in-depth discussion of mathematical methods such as Fourier analysis, linear systems theory, random processes, and optimization-based image reconstruction techniques. These techniques are very much essential for a better understanding of the working of computational imaging systems. It discusses topics in Fourier optics, e.g., diffraction phenomena, coherent and incoherent imaging systems, and some aspects of coherence theory. These concepts are then used to describe several system ideas that combine optical hardware design and image reconstruction algorithms, such as digital holography, iterative phase retrieval, super-resolution imaging, point spread function engineering for enhanced depth-of-focus, projection-based imaging, single-pixel or ghost imaging, etc. The topics covered in this book can provide an elementary introduction to the exciting area of computational imaging for students who may wish to work with imaging systems in their future careers.
650			_aMathematics
700			_aButola, Mansi
700			_aRajora, Sunaina
942			_cBK
999			_c7054 _d7054