Optics

Download Modeling the Imaging Chain of Digital Cameras (SPIE Tutorial by Robert D. Fiete PDF

By Robert D. Fiete

The method in which a picture is shaped, processed, and displayed will be conceptualized as a series of actual occasions known as the imaging chain. via mathematically modeling the imaging chain, we will achieve perception into the connection among the digital camera layout parameters and the ensuing picture caliber. The mathematical types is usually used to optimize and examine the layout of a digital camera for particular functions sooner than costs are devoted to construction undefined. Modeling the Imaging Chain of electronic Cameras teaches the main parts of the end-to-end imaging chain for camera structures and describes how parts of the imaging chain are mathematically modeled utilizing the fundamentals of linear structures arithmetic and Fourier transforms. The emphasis is on basic electronic cameras designed to snapshot incoherent mild within the obvious imaging spectrum. The reader will learn the way digicam layout parameters are on the topic of the weather of the imaging chain and the way they effect the ensuing photograph caliber. The publication additionally discusses using imaging chain types to simulate photos from various digicam designs for picture caliber reviews.

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Additional resources for Modeling the Imaging Chain of Digital Cameras (SPIE Tutorial Text Vol. TT92) (Tutorial Texts in Optical Engineering)

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3 The rectangle function. 8) 18 Chapter 3 A triangle (Fig. 9) x  x0  wx and a two-dimensional triangle is given by  x  x0 y  y0   x  x0   y  y0  tri  ,  tri    . 10) The sinc function (Fig. 4 The triangle function. 5 The sinc function. 11) Mathematics 19 and a two-dimensional sinc is given by  x  x0 y  y 0 sinc ,  w wy x      sinc x  x 0  w  x    y  y0  sinc  w y    . 12) A Gaussian function (Fig. 13) and a two-dimensional Gaussian is given by  x  x0 x  x0  Gaus  , e wx   wx  x  x0      wx  2 e  y  y0      wy    2 e   x  x 2  y  y 2  0 0     2  w2y   wx .

The inverse Fourier transform is given by f  x   FT 1  F     F   e 2πi x d . 43)  The wave function inside the integral is related to cosine and sine waves by the Euler relation e 2πix  cos  2πx   i sin  2πx  . 45)   and the inverse Fourier transform is given by f  x, y   FT 1  F  ,       F  ,  e 2πi x 2πi y e d d . 47) 26 Chapter 3 where J0(r) is the zeroth order Bessel function of the first kind, r  x2  y2 and    2   2 . 48) where Fr() is the real part and Fi() is the imaginary part.

R. , Oxford University Press, New York (2007). 2. R. W. Boyd, Radiometry and the Detection of Optical Radiation, John Wiley & Sons, New York (1983). 3. J. M. Palmer and B. G. Grant, The Art of Radiometry, SPIE Press, Bellingham, Washington (2009). 798237]. 8 Accurate reflection and emissivity properties of objects are modeled using DIRSIG (image courtesy the RIT Digital Imaging and Remote Sensing Laboratory).

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