Section 10 Vignetting Vignetting the Stop Determines Determines the Stop the Size of the Bundle of Rays That Propagates On-Axis an the System for Through Object
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Breaking Down the “Cosine Fourth Power Law”
Breaking Down The “Cosine Fourth Power Law” By Ronian Siew, inopticalsolutions.com Why are the corners of the field of view in the image captured by a camera lens usually darker than the center? For one thing, camera lenses by design often introduce “vignetting” into the image, which is the deliberate clipping of rays at the corners of the field of view in order to cut away excessive lens aberrations. But, it is also known that corner areas in an image can get dark even without vignetting, due in part to the so-called “cosine fourth power law.” 1 According to this “law,” when a lens projects the image of a uniform source onto a screen, in the absence of vignetting, the illumination flux density (i.e., the optical power per unit area) across the screen from the center to the edge varies according to the fourth power of the cosine of the angle between the optic axis and the oblique ray striking the screen. Actually, optical designers know this “law” does not apply generally to all lens conditions.2 – 10 Fundamental principles of optical radiative flux transfer in lens systems allow one to tune the illumination distribution across the image by varying lens design characteristics. In this article, we take a tour into the fascinating physics governing the illumination of images in lens systems. Relative Illumination In Lens Systems In lens design, one characterizes the illumination distribution across the screen where the image resides in terms of a quantity known as the lens’ relative illumination — the ratio of the irradiance (i.e., the power per unit area) at any off-axis position of the image to the irradiance at the center of the image. -
Introduction to CODE V: Optics
Introduction to CODE V Training: Day 1 “Optics 101” Digital Camera Design Study User Interface and Customization 3280 East Foothill Boulevard Pasadena, California 91107 USA (626) 795-9101 Fax (626) 795-0184 e-mail: [email protected] World Wide Web: http://www.opticalres.com Copyright © 2009 Optical Research Associates Section 1 Optics 101 (on a Budget) Introduction to CODE V Optics 101 • 1-1 Copyright © 2009 Optical Research Associates Goals and “Not Goals” •Goals: – Brief overview of basic imaging concepts – Introduce some lingo of lens designers – Provide resources for quick reference or further study •Not Goals: – Derivation of equations – Explain all there is to know about optical design – Explain how CODE V works Introduction to CODE V Training, “Optics 101,” Slide 1-3 Sign Conventions • Distances: positive to right t >0 t < 0 • Curvatures: positive if center of curvature lies to right of vertex VC C V c = 1/r > 0 c = 1/r < 0 • Angles: positive measured counterclockwise θ > 0 θ < 0 • Heights: positive above the axis Introduction to CODE V Training, “Optics 101,” Slide 1-4 Introduction to CODE V Optics 101 • 1-2 Copyright © 2009 Optical Research Associates Light from Physics 102 • Light travels in straight lines (homogeneous media) • Snell’s Law: n sin θ = n’ sin θ’ • Paraxial approximation: –Small angles:sin θ~ tan θ ~ θ; and cos θ ~ 1 – Optical surfaces represented by tangent plane at vertex • Ignore sag in computing ray height • Thickness is always center thickness – Power of a spherical refracting surface: 1/f = φ = (n’-n)*c -
Sample Manuscript Showing Specifications and Style
Information capacity: a measure of potential image quality of a digital camera Frédéric Cao 1, Frédéric Guichard, Hervé Hornung DxO Labs, 3 rue Nationale, 92100 Boulogne Billancourt, FRANCE ABSTRACT The aim of the paper is to define an objective measurement for evaluating the performance of a digital camera. The challenge is to mix different flaws involving geometry (as distortion or lateral chromatic aberrations), light (as luminance and color shading), or statistical phenomena (as noise). We introduce the concept of information capacity that accounts for all the main defects than can be observed in digital images, and that can be due either to the optics or to the sensor. The information capacity describes the potential of the camera to produce good images. In particular, digital processing can correct some flaws (like distortion). Our definition of information takes possible correction into account and the fact that processing can neither retrieve lost information nor create some. This paper extends some of our previous work where the information capacity was only defined for RAW sensors. The concept is extended for cameras with optical defects as distortion, lateral and longitudinal chromatic aberration or lens shading. Keywords: digital photography, image quality evaluation, optical aberration, information capacity, camera performance database 1. INTRODUCTION The evaluation of a digital camera is a key factor for customers, whether they are vendors or final customers. It relies on many different factors as the presence or not of some functionalities, ergonomic, price, or image quality. Each separate criterion is itself quite complex to evaluate, and depends on many different factors. The case of image quality is a good illustration of this topic. -
Multi-Agent Recognition System Based on Object Based Image Analysis Using Worldview-2
intervals, between −3 and +3, for a total of 19 different EVs To mimic airborne imagery collection from a terrestrial captured (see Table 1). WB variable images were captured location, we attempted to approximate an equivalent path utilizing the camera presets listed in Table 1 at the EVs of 0, radiance to match a range of altitudes (750 to 1500 m) above −1 and +1, for a total of 27 images. Variable light metering ground level (AGL), that we commonly use as platform alti- tests were conducted using the “center weighted” light meter tudes for our simulated damage assessment research. Optical setting, at the EVs listed in Table 1, for a total of seven images. depth increases horizontally along with the zenith angle, from The variable ISO tests were carried out at the EVs of −1, 0, and a factor of one at zenith angle 0°, to around 40° at zenith angle +1, using the ISO values listed in Table 1, for a total of 18 im- 90° (Allen, 1973), and vertically, with a zenith angle of 0°, the ages. The variable aperture tests were conducted using 19 dif- magnitude of an object at the top of the atmosphere decreases ferent apertures ranging from f/2 to f/16, utilizing a different by 0.28 at sea level, 0.24 at 500 m, and 0.21 at 1,000 m above camera system from all the other tests, with ISO = 50, f = 105 sea level, to 0 at around 100 km (Green, 1992). With 25 mm, four different degrees of onboard vignetting control, and percent of atmospheric scattering due to atmosphere located EVs of −⅓, ⅔, 0, and +⅔, for a total of 228 images. -
Holographic Optics for Thin and Lightweight Virtual Reality
Holographic Optics for Thin and Lightweight Virtual Reality ANDREW MAIMONE, Facebook Reality Labs JUNREN WANG, Facebook Reality Labs Fig. 1. Left: Photo of full color holographic display in benchtop form factor. Center: Prototype VR display in sunglasses-like form factor with display thickness of 8.9 mm. Driving electronics and light sources are external. Right: Photo of content displayed on prototype in center image. Car scenes by komba/Shutterstock. We present a class of display designs combining holographic optics, direc- small text near the limit of human visual acuity. This use case also tional backlighting, laser illumination, and polarization-based optical folding brings VR out of the home and in to work and public spaces where to achieve thin, lightweight, and high performance near-eye displays for socially acceptable sunglasses and eyeglasses form factors prevail. virtual reality. Several design alternatives are proposed, compared, and ex- VR has made good progress in the past few years, and entirely perimentally validated as prototypes. Using only thin, flat films as optical self-contained head-worn systems are now commercially available. components, we demonstrate VR displays with thicknesses of less than 9 However, current headsets still have box-like form factors and pro- mm, fields of view of over 90◦ horizontally, and form factors approach- ing sunglasses. In a benchtop form factor, we also demonstrate a full color vide only a fraction of the resolution of the human eye. Emerging display using wavelength-multiplexed holographic lenses that uses laser optical design techniques, such as polarization-based optical folding, illumination to provide a large gamut and highly saturated color. -
Aperture Efficiency and Wide Field-Of-View Optical Systems Mark R
Aperture Efficiency and Wide Field-of-View Optical Systems Mark R. Ackermann, Sandia National Laboratories Rex R. Kiziah, USAF Academy John T. McGraw and Peter C. Zimmer, J.T. McGraw & Associates Abstract Wide field-of-view optical systems are currently finding significant use for applications ranging from exoplanet search to space situational awareness. Systems ranging from small camera lenses to the 8.4-meter Large Synoptic Survey Telescope are designed to image large areas of the sky with increased search rate and scientific utility. An interesting issue with wide-field systems is the known compromises in aperture efficiency. They either use only a fraction of the available aperture or have optical elements with diameters larger than the optical aperture of the system. In either case, the complete aperture of the largest optical component is not fully utilized for any given field point within an image. System costs are driven by optical diameter (not aperture), focal length, optical complexity, and field-of-view. It is important to understand the optical design trade space and how cost, performance, and physical characteristics are influenced by various observing requirements. This paper examines the aperture efficiency of refracting and reflecting systems with one, two and three mirrors. Copyright © 2018 Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS) – www.amostech.com Introduction Optical systems exhibit an apparent falloff of image intensity from the center to edge of the image field as seen in Figure 1. This phenomenon, known as vignetting, results when the entrance pupil is viewed from an off-axis point in either object or image space. -
A Practical Guide to Panoramic Multispectral Imaging
A PRACTICAL GUIDE TO PANORAMIC MULTISPECTRAL IMAGING By Antonino Cosentino 66 PANORAMIC MULTISPECTRAL IMAGING Panoramic Multispectral Imaging is a fast and mobile methodology to perform high resolution imaging (up to about 25 pixel/mm) with budget equipment and it is targeted to institutions or private professionals that cannot invest in costly dedicated equipment and/or need a mobile and lightweight setup. This method is based on panoramic photography that uses a panoramic head to precisely rotate a camera and shoot a sequence of images around the entrance pupil of the lens, eliminating parallax error. The proposed system is made of consumer level panoramic photography tools and can accommodate any imaging device, such as a modified digital camera, an InGaAs camera for infrared reflectography and a thermal camera for examination of historical architecture. Introduction as thermal cameras for diagnostics of historical architecture. This article focuses on paintings, This paper describes a fast and mobile methodo‐ but the method remains valid for the documenta‐ logy to perform high resolution multispectral tion of any 2D object such as prints and drawings. imaging with budget equipment. This method Panoramic photography consists of taking a can be appreciated by institutions or private series of photo of a scene with a precise rotating professionals that cannot invest in more costly head and then using special software to align dedicated equipment and/or need a mobile and seamlessly stitch those images into one (lightweight) and fast setup. There are already panorama. excellent medium and large format infrared (IR) modified digital cameras on the market, as well as scanners for high resolution Infrared Reflec‐ Multispectral Imaging with a Digital Camera tography, but both are expensive. -
Optics II: Practical Photographic Lenses CS 178, Spring 2013
Optics II: practical photographic lenses CS 178, Spring 2013 Begun 4/11/13, finished 4/16/13. Marc Levoy Computer Science Department Stanford University Outline ✦ why study lenses? ✦ thin lenses • graphical constructions, algebraic formulae ✦ thick lenses • center of perspective, 3D perspective transformations ✦ depth of field ✦ aberrations & distortion ✦ vignetting, glare, and other lens artifacts ✦ diffraction and lens quality ✦ special lenses • 2 telephoto, zoom © Marc Levoy Lens aberrations ✦ chromatic aberrations ✦ Seidel aberrations, a.k.a. 3rd order aberrations • arise because we use spherical lenses instead of hyperbolic • can be modeled by adding 3rd order terms to Taylor series ⎛ φ 3 φ 5 φ 7 ⎞ sin φ ≈ φ − + − + ... ⎝⎜ 3! 5! 7! ⎠⎟ • oblique aberrations • field curvature • distortion 3 © Marc Levoy Dispersion (wikipedia) ✦ index of refraction varies with wavelength • higher dispersion means more variation • amount of variation depends on material • index is typically higher for blue than red • so blue light bends more 4 © Marc Levoy red and blue have Chromatic aberration the same focal length (wikipedia) ✦ dispersion causes focal length to vary with wavelength • for convex lens, blue focal length is shorter ✦ correct using achromatic doublet • strong positive lens + weak negative lens = weak positive compound lens • by adjusting dispersions, can correct at two wavelengths 5 © Marc Levoy The chromatic aberrations (Smith) ✦ longitudinal (axial) chromatic aberration • different colors focus at different depths • appears everywhere -
Projection Crystallography and Micrography with Digital Cameras Andrew Davidhazy
Rochester Institute of Technology RIT Scholar Works Articles 2004 Projection crystallography and micrography with digital cameras Andrew Davidhazy Follow this and additional works at: http://scholarworks.rit.edu/article Recommended Citation Davidhazy, Andrew, "Projection crystallography and micrography with digital cameras" (2004). Accessed from http://scholarworks.rit.edu/article/468 This Technical Report is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Articles by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Projection Crystallography and Micrography with Digital Cameras Andrew Davidhazy Imaging and Photographic Technology Department School of Photographic Arts and Sciences Rochester Institute of Technology During a lunchroom conversation many years ago a good friend of mine, by the name of Nile Root, and I observed that a microscope is very similar to a photographic enlarger and we proceeded to introduce this concept to our classes. Eventually a student of mine by the name of Alan Pomplun wrote and article about the technique of using an enlarger as the basis for photographing crystals that exhibited birefringence. The reasoning was that in some applications a low magnification of crystalline subjects typically examined in crystallograohy was acceptable and that the light beam in an enlarger could be easily polarized above a sample placed in the negative stage. A second polarizer placed below the lens would allow the colorful patterns that some crystalline structures achieve to be come visible. His article, that was published in Industrial Photography magazine in 1988, can be retrieved here. With the advent of digital cameras the process of using an enlarger as an improvised low-power transmission microscope merits to be revisited as there are many benefits to be derived from using the digital process for the capture of images under such a "microscope" but there are also potential pitfalls to be aware of. -
Part 4: Filed and Aperture, Stop, Pupil, Vignetting Herbert Gross
Optical Engineering Part 4: Filed and aperture, stop, pupil, vignetting Herbert Gross Summer term 2020 www.iap.uni-jena.de 2 Contents . Definition of field and aperture . Numerical aperture and F-number . Stop and pupil . Vignetting Optical system stop . Pupil stop defines: 1. chief ray angle w 2. aperture cone angle u . The chief ray gives the center line of the oblique ray cone of an off-axis object point . The coma rays limit the off-axis ray cone . The marginal rays limit the axial ray cone stop pupil coma ray marginal ray y field angle image w u object aperture angle y' chief ray 4 Definition of Aperture and Field . Imaging on axis: circular / rotational symmetry Only spherical aberration and chromatical aberrations . Finite field size, object point off-axis: - chief ray as reference - skew ray bundels: y y' coma and distortion y p y'p - Vignetting, cone of ray bundle not circular O' field of marginal/rim symmetric view ray RAP' chief ray - to distinguish: u w' u' w tangential and sagittal chief ray plane O entrance object exit image pupil plane pupil plane 5 Numerical Aperture and F-number image . Classical measure for the opening: plane numerical aperture (half cone angle) object in infinity NA' nsinu' DEnP/2 u' . In particular for camera lenses with object at infinity: F-number f f F# DEnP . Numerical aperture and F-number are to system properties, they are related to a conjugate object/image location 1 . Paraxial relation F # 2n'tanu' . Special case for small angles or sine-condition corrected systems 1 F # 2NA' 6 Generalized F-Number . -
Single-Image Vignetting Correction Using Radial Gradient Symmetry
Single-Image Vignetting Correction Using Radial Gradient Symmetry Yuanjie Zheng1 Jingyi Yu1 Sing Bing Kang2 Stephen Lin3 Chandra Kambhamettu1 1 University of Delaware, Newark, DE, USA {zheng,yu,chandra}@eecis.udel.edu 2 Microsoft Research, Redmond, WA, USA [email protected] 3 Microsoft Research Asia, Beijing, P.R. China [email protected] Abstract lenge is to differentiate the global intensity variation of vi- gnetting from those caused by local texture and lighting. In this paper, we present a novel single-image vignetting Zheng et al.[25] treat intensity variation caused by texture method based on the symmetric distribution of the radial as “noise”; as such, they require some form of robust outlier gradient (RG). The radial gradient is the image gradient rejection in fitting the vignetting function. They also require along the radial direction with respect to the image center. segmentation and must explicitly account for local shading. We show that the RG distribution for natural images with- All these are susceptible to errors. out vignetting is generally symmetric. However, this dis- We are also interested in vignetting correction using a tribution is skewed by vignetting. We develop two variants single image. Our proposed approach is fundamentally dif- of this technique, both of which remove vignetting by min- ferent from Zheng et al.’s—we rely on the property of sym- imizing asymmetry of the RG distribution. Compared with metry of the radial gradient distribution. (By radial gradient, prior approaches to single-image vignetting correction, our we mean the gradient along the radial direction with respect method does not require segmentation and the results are to the image center.) We show that the radial gradient dis- generally better. -
The F-Word in Optics
The F-word in Optics F-number, was first found for fixing photographic exposure. But F/number is a far more flexible phenomenon for finding facts about optics. Douglas Goodman finds fertile field for fixes for frequent confusion for F/#. The F-word of optics is the F-number,* also known as F/number, F/#, etc. The F- number is not a natural physical quantity, it is not defined and used consistently, and it is often used in ways that are both wrong and confusing. Moreover, there is no need to use the F-number, since what it purports to describe can be specified rigorously and unambiguously with direction cosines. The F-number is usually defined as follows: focal length F-number= [1] entrance pupil diameter A further identification is usually made with ray angle. Referring to Figure 1, a ray from an object at infinity that is parallel to the axis in object space intersects the front principal plane at height Y and presumably leaves the rear principal plane at the same height. If f is the rear focal length, then the angle of the ray in image space θ′' is given by y tan θ'= [2] f In this equation, as in the others here, a sign convention for angles heights and magnifications is not rigorously enforced. Combining these equations gives: 1 F−= number [3] 2tanθ ' For an object not at infinity, by analogy, the F-number is often taken to be the half of the inverse of the tangent of the marginal ray angle. However, Eq. 2 is wrong.