Light and Color
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Optical Coating Capabilities
6/7/2021 Optical Coating Capabilities | Optical Filter Coatings | Andover ISO 9001 AS 9100 ITAR Toll Free (US): +1 (888) 8939992 International: +01 (603) 893 6888 LOGIN CHECKOUT Search CONTROL THE LIGHT, SEE YOUR WORLD Standard & Custom Optical Filters and Coatings Home / Optical Filters & Assemblies | Coating Capabilities | Andover / Optical Coating Capabilities | Optical Filter Coatings | Andover OPTICAL COATING CAPABILITIES What is an Optical Filter Coating? An optical coating is one or more thin layers of material deposited on an optical component such as a lens or mirror, which alters the way in which the optic reflects and transmits light. One type of optical coating is an antireflection coating, which reduces unwanted reflections from surfaces, and is commonly used on spectacle and photographic lenses. Another type is the highreflector coating which can be used to produce mirrors that reflect greater than 99.99% of the light which falls on them. More complex optical coatings exhibit high reflection over some range of wavelengths, and antireflection over another range, allowing the production of dichroic thinfilm optical filters. Technologies Andover has a variety of optical coating technologies at its disposal, providing customers with solutions tailored to their specific applications. Technologies include: Magnetron Sputtering IonAssisted EBeam deposition Resistance Evaporation Hybrid Technologies We can design and manufacture coatings to meet your most demanding requirements. Range of Wavelengths from 193nm to 14 microns, on a wide variety of substrate materials including BK7, filter glass, borosilicate glass, Silicon, Germanium, Sapphire, Fused Silica, Calcium Fluoride, Zinc Selenide, Zinc Sulfide, and more. All Andover chambers are internally custombuilt, computercontrolled, and use the latest deposition techniques. -
Reflectance in Thin Films
TECHNICAL PAPER Reflectance in Thin Films Abstract Reflectance (R) is the fraction of incident light reflected from a surface and is an intrinsic optical property of thin films. It is essential in determining color, transparency and polarization characteristics of the film. Total internal reflectance is also important in devices such as optical waveguides. Reflectance depends on the energy band structure and associated plasma frequency of charge carriers. As a result, high reflection spectral regions are different for metals, semiconductors and insulators. Basic relations that determine reflectance will be presented and related to refractive index, extinction coefficient, color and transparency of these three classes of thin film materials. Reflectance of thin films also depends on thickness and surface quality. In addition to spectral dependence, the color associated with reflectance can also be described by Tristimulus values and Chromaticity diagrams. Antireflection and high reflection multilayer thin film coatings will also be addressed. Introduction The reflectivity or reflectance (R), of a surface is an intrinsic optical property of a surface. In many optical, electrooptic, telecommunications, solar concentrator and architectural applications, reflectance must either be controlled (reduced or enhanced), or the color of the object changed (e.g., given a “gold” color). For example, heat mirrors are used to reflect infrared wavelengths to reduce heat loss or ingress through windows. Infrared reflectance must be maximized while keeping visible light transmission through the window high. Multilayer low-e and solar control coatings are used to achieve this performance but must be applied to low cost plastic films and glazings. Combined with absorption, reflectance determines color and intensity (or energy) of reflected light. -
Backstage Lighting Terminology
Break-out: Adapter consisting of multiple receptacles (FM) wired to a single multipin (M) connector; may be a box or a cable assembly. Synonym: Break-out Box, Fan-out Burn Out: Failed lamp or color media that is burned through Channel: Specific control parameter encompassing single or multiple device attributes (lighting dimmers, audio signals, etc.) controlled as a unit Lighting and Electrics Terminology (A-Le) Channel Hookup: Paperwork designating the connection of Adapter: Electrical accessory that transitions between dimmer circuits to channels of control dissimilar connectors; may be a molded unit, box or cable assembly Circuit: Path for electricity to flow from the source, through a conductor, to a device(s) Amperes: Unit of measure for the quantity of electricity flowing in a conductor. Synonym: A, Amp, Current Circuit Breaker: Mechanical/Electrical device that is designed to automatically open (trip) if the current exceeds the rated Automated Luminaire: Lighting instrument with attributes level protecting the circuit; may be operated manually that are remotely controlled. Synonym: Automated Fixture, Synonym: Breaker, CB, OCPD, Overcurrent Protective Device Automated Light, Computerized Light, Intelligent Light, Motorized Light, Mover, Moving Light Color Extender: Top hat with color media holder. Synonym: Gel Extender Backlight: A lighting source that is behind the talent or subject from the viewers perspective. Synonym: Backs, Back Color Frame: Metal or heat resistant device that holds the Wash, Bx, Hair Light, Rim Light color media in front of a luminaire. Synonym: Gel Frame Balcony Rail: Lighting position mounted in front of or on the Color Media: Translucent material used to color light face of the balcony. -
Goethe's Theory of Colors Between the Ancient Philosophy, Middle Ages
CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science Victor Barsan and Andrei Merticariu Cogent Arts & Humanities (2016), 3: 1145569 Page 1 of 29 Barsan & Merticariu, Cogent Arts & Humanities (2016), 3: 1145569 http://dx.doi.org/10.1080/23311983.2016.1145569 CULTURE, MEDIA & FILM | RESEARCH ARTICLE Goethe’s theory of colors between the ancient philosophy, middle ages occultism and modern science 1 2 Received: 18 February 2015 Victor Barsan * and Andrei Merticariu Accepted: 20 January 2016 Published: 18 February 2016 Abstract: Goethe’s rejection of Newton’s theory of colors is an interesting example *Corresponding author: Victor Barsan, of the vulnerability of the human mind—however brilliant it might be—to fanati- Department of Theoretical Physics, cism. After an analysis of Goethe’s persistent fascination with magic and occultism, Horia Hulubei Institute of Physics and Nuclear Engineering, Aleea Reactorului of his education, existential experiences, influences, and idiosyncrasies, the authors nr. 30, Magurele, Bucharest, Romania E-mail: [email protected] propose an original interpretation of his anti-Newtonian position. The relevance of Goethe’s Farbenlehre to physics and physiology, from the perspective of modern sci- Reviewing editor: Peter Stanley Fosl, Transylvania ence, is discussed in detail. University, USA Subjects: Aristotle; Biophysics; Experimental Physics; Fine Art; Medical Physics; Ophthal- Additional information is available at the end of the article mology; Philosophy of Art; Philosophy of Science; Presocratics Keywords: ancient philosophy; Greek–Roman classicism; middle ages science; Newtonian science; occultism; pantheism; optics; theory of colors; primordial phenomenon (urphaeno men) 1. Introduction Light is one of the most interesting components of the physical universe. -
Fuzzy Set Theoretical Approach to the Tone Triangular System
JOURNAL OF COMPUTERS, VOL. 6, NO. 11, NOVEMBER 2011 2345 Fuzzy Set Theoretical Approach to the Tone Triangular System Naotoshi Sugano Tamagawa University, Tokyo, Japan [email protected] Abstract—The present study considers a fuzzy color system gravity of the attribute information of vague colors. This in which three input fuzzy sets are constructed on the tone fuzzy set theoretical approach is useful for vague color triangle. This system can process a fuzzy input to a tone information processing, color identification, and similar triangular system and output to a color on the RGB applications. triangular system. Three input fuzzy sets (not black, white, and light) are applied to the tone triangle relationship. By treating three attributes of chromaticness, whiteness, and II. METHODS blackness on the tone triangle, a target color can be easily A. Color Triangle and Additive Color Mixture obtained as the center of gravity of the output fuzzy set. In Additive color mixing occurs when two or three beams the present paper, the differences between fuzzy inputs and inference outputs are described, and the relationship of differently colored light combine. It has been found between inference outputs for crisp inputs and for fuzzy that mixing just three additive primary colors, red, green, inputs on the RGB triangular system are shown by the and blue, can produce the majority of colors. In general, a input-output characteristics between chromaticness, color vector can be described by certain quantities as a whiteness, and blackness as the inputs and redness (as one scalar and a direction. These quantities are referred to as of the outputs). -
A Correlated Color Temperature for Illuminants
. (R P 365) A CORRELATED COLOR TEMPERATURE FOR ILLUMINANTS By Raymond Davis ABSTRACT As has long been known, most of the artificial and natural illuminants do not match exactly any one of the Planckian colors. Therefore, strictly speaking, they can not be assigned a color temperature. A color of this type may, however, be correlated with a representative Planckian color. The method of determining correlated color temperature described in this paper consists in comparing the relative luminosities of each of the three primary red, green, and blue components of the source with similar values for the Planckian series. With such a comparison three component temperatures are obtained; that is, the red component of the source corresponds with that of the Planckian radiator at one temperature, its green component with that of the Planckian radiator at a second temperature, and its blue component with that of the Planckian radiator at a third temperature. The average of these three component temperatures is designated as the correlated color temperature of the source. The mean devia- tion of the component temperatures from the average temperature is used as a basis for specifying the color (chromaticity) departure of the source from that of the Planckian radiator at the correlated color temperature. The conjunctive wave length indicates the kind of color departure. CONTENTS Page I. Introduction 659 II. The proposed method 662 III. Procedure 665 1. The Planckian radiator evaluated in terms of relative lumi- nosity of the primary components 665 2. Computation of the correlated color temperature 670 3. Calculation of color departure in terms of sensation steps 672 4. -
Raphics & Visualization
Graphics & Visualization Chapter 11 COLOR IN GRAPHICS & VISUALIZATION Graphics & Visualization: Principles & Algorithms Chapter 11 Introduction • The study of color, and the way humans perceive it, a branch of: Physics Physiology Psychology Computer Graphics Visualization • The result of graphics or visualization algorithms is a color or grayscale image to be viewed on an output device (monitor, printer) Graphics programmer should be aware of the fundamental principles behind color and its digital representation Graphics & Visualization: Principles & Algorithms Chapter 11 2 Grayscale • Intensity: achromatic light; color characteristics removed • Intensity can be represented by a real number between 0 (black) and 1 (white) Values between these two extremes are called grayscales • Assume use of d bits to represent the intensity of each pixel n=2d different intensity values per pixel • Question: which intensity values shall we represent ? • Answer: Linear scale of intensities between the minimum & maximum value, is not a good idea: Human eye perceives intensity ratios rather than absolute intensity values. Light bulb example: 20-40-60W Therefore, we opt for a logarithmic distribution of intensity values Graphics & Visualization: Principles & Algorithms Chapter 11 3 Grayscale (2) • Let Φ0 be the minimum intensity value For typical monitors: Φ0 = (1/300) * maximum value 1 (white) Such monitors have a dynamic range of 300:1 • Let λ be the ratio between successive intensity values • Then we take: Φ1 = λ* Φ0 2 Φ1 = λ* Φ1=λ *Φ0 … -
Computer Vision? Color Histograms
Lecture 11 Color © UW CSE vision faculty Starting Point: What is light? Electromagnetic radiation (EMR) moving along rays in space •R(λ) is EMR, measured in units of power (watts) – λ is wavelength Perceiving light • How do we convert radiation into “color”? • What part of the spectrum do we see? Newton’s prism experiment Newton’s own drawing of his experiment showing decomposition of white light The light spectrum We “see” electromagnetic radiation in a range of wavelengths Light spectrum The appearance of light depends on its power spectrum • How much power (or energy) at each wavelength daylight tungsten bulb Our visual system converts a light spectrum into “color” • This is a rather complex transformation Recall: Image Formation Basics i(x,y) f(x,y) r(x,y) (from Gonzalez & Woods, 2008) Image Formation: Basics Image f(x,y) is characterized by 2 components 1. Illumination i(x,y) = Amount of source illumination incident on scene 2. Reflectance r(x,y) = Amount of illumination reflected by objects in the scene f(,)(,)(,) x y i= x y r x y where 0 (< ,i ) x < y ∞andr 0 < x y ( , < ) 1 r(x,y) depends on object properties r = 0 means total absorption and 1 means total reflectance The Human Eye and Retina Color perception • Light hits the retina, which contains photosensitive cells – rods and cones • Rods responsible for intensity, cones responsible for color Density of rods and cones Rods and cones are non-uniformly distributed on the retina • Fovea - Small central region (1 or 2°) containing the highest density of cones (and no rods) • Less visual acuity in the periphery—many rods wired to the same neuron Demonstration of Blind Spot With left eye shut, look at the cross on the left. -
Colorwatch: Color Perceptual Spatial Tactile Interface for People with Visual Impairments
electronics Article ColorWatch: Color Perceptual Spatial Tactile Interface for People with Visual Impairments Muhammad Shahid Jabbar 1 , Chung-Heon Lee 1 and Jun Dong Cho 1,2,* 1 Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Gyeonggi-do, Korea; [email protected] (M.S.J.); [email protected] (C.-H.L.) 2 Department of Human ICT Convergence, Sungkyunkwan University, Suwon 16419, Gyeonggi-do, Korea * Correspondence: [email protected] Abstract: Tactile perception enables people with visual impairments (PVI) to engage with artworks and real-life objects at a deeper abstraction level. The development of tactile and multi-sensory assistive technologies has expanded their opportunities to appreciate visual arts. We have developed a tactile interface based on the proposed concept design under considerations of PVI tactile actuation, color perception, and learnability. The proposed interface automatically translates reference colors into spatial tactile patterns. A range of achromatic colors and six prominent basic colors with three levels of chroma and values are considered for the cross-modular association. In addition, an analog tactile color watch design has been proposed. This scheme enables PVI to explore artwork or real-life object color by identifying the reference colors through a color sensor and translating them to the tactile interface. The color identification tests using this scheme on the developed prototype exhibit good recognition accuracy. The workload assessment and usability evaluation for PVI demonstrate promising results. This suggest that the proposed scheme is appropriate for tactile color exploration. Citation: Jabbar, M.S.; Lee, C.-H.; Keywords: color identification; tactile perception; cross modular association; universal design; Cho, J.D. -
Evaluating Color Gamut of Smartphone Display
Evaluating Color Gamut of Smartphone Display Introduction gamut, but the most common reference spaces used for display products are CIE Yxy (1931) and CIE Lu’v’ With increased image and video content available over (1976) chromaticity chart. the internet, there is now a growing emphasis on color fidelity and accuracy of display used in smartphone. One reason for this growing emphasis is the emergence of online merchandising. Consumers want to be sure that the colors they see on their smartphone display are actually what they will get eventually. Another reason is CIE Yxy (1931) chromaticity chart that we are now accustomed to seeing displays which are able to reproduce colors we see in the real world. Anything less, the smartphone display would be deemed as mediocre. The good news is color fidelity and accuracy of display have improved throughout the years due to better display technology, advanced signal processing and color management solution. To ensure displays are able to portray specific colors accurately, evaluating parameter like color gamut is CIE Lu’v’ (1976) chromaticity chart necessary. Apart from color gamut, parameters like white point and gamma are also of equal importance TThere are various color gamut standards drafted for in evaluating the visual characteristic of display. expressing color display range according to different industry and different application. For smartphone What is Color Gamut? and PC displays, the standard gamut is sRGB/ Rec.709. However, with the growing adoption of wide color Color gamut is defined as the range of colors that a gamut solutions in the high-end display market, wide display can reproduce. -
An Integrative Framework for the Appraisal of Coloration in Nature Author(S): Darrell J
The University of Chicago An Integrative Framework for the Appraisal of Coloration in Nature Author(s): Darrell J. Kemp, Marie E. Herberstein, Leo J. Fleishman, John A. Endler, Andrew T. D. Bennett, Adrian G. Dyer, Nathan S. Hart, Justin Marshall, Martin J. Whiting Source: The American Naturalist, Vol. 185, No. 6 (June 2015), pp. 705-724 Published by: The University of Chicago Press for The American Society of Naturalists Stable URL: http://www.jstor.org/stable/10.1086/681021 . Accessed: 07/10/2015 01:10 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. The University of Chicago Press, The American Society of Naturalists, The University of Chicago are collaborating with JSTOR to digitize, preserve and extend access to The American Naturalist. http://www.jstor.org This content downloaded from 23.235.32.0 on Wed, 7 Oct 2015 01:10:39 AM All use subject to JSTOR Terms and Conditions vol. 185, no. 6 the american naturalist june 2015 Synthesis An Integrative Framework for the Appraisal of Coloration in Nature Darrell J. Kemp,1,* Marie E. Herberstein,1 Leo J. Fleishman,2 John A. Endler,3,4 Andrew T. -
Cromie Is Designed Around the Natural Color System (NCS), a Color Notation System That Classifies Color According to the Way the Human Eye Perceives It
NCS SYSTEM Cromie is designed around the Natural Color System (NCS), a color notation system that classifies color according to the way the human eye perceives it. Unlike arbitrary numeric systems, NCS is capable of identifying and accurately notating any of the 10 million colors the eye can perceive. Relying on the six elementary colors (White, Black, Yellow, Red, Blue, Green), the NCS notation classifies a color in relation to each of the six elementary colors. NCS NOTATION Let’s take the NCS notation S 1050-Y90R as an example. The letter S before the complete notation indicates that the color is part of the NCS Second Edition. The number 1050 indicates the shade (i.e. the amount of blackness (S) and the chromaticity (C)). In this case, the blackness, or darkness (S), is 10% and the chromaticity (C) is 50%. Y90R indicates the similarity to the other two elementary colors, Y (yellow) and R (red). Y90R indicates yellow with 90% of red. Neutral gray tints have no shade (chromaticity equals 0) and are notated by the nuance followed by -N, as it is neutral color. 0300-N is white, followed by 0500-N, 1000-N, 1500 N, etc. up to 9000-N, which is black. NCS COLOR SPACE In this 3D model, all imaginable surface colours can be given a specific classification and an exact NCS notation. S 1050 - Y90 NCS COLOR CIRCLE The NCS color circle is a horizontal section that cuts the 3D model in two. In this circle, the four elementary colors are placed at the cardinal points and the space between two colors is divided into 10 parts.