Understanding Color Infrared Photography
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Quack Summer 2016
Summer 2016 - Vol. 15, Issue 3 All contents © 2016 E.J. Peiker Welcome to the quarterly newsletter from E.J. Peiker, Nature Photographer and www.EJPhoto.com . In this quarterly publication, I share with fellow photographers my photographic experiences, photo equipment reviews, photo and processing tips, and industry news. I also inform subscribers about upcoming workshops and products that I offer. Please feel free to forward this to other photographers and interested parties but please do so only by forwarding this newsletter in its entirety. All content is copyrighted by E.J. Peiker and may not be reproduced. If you would like to be added to the mailing list, unsubscribe, or access back issues, please visit: www.ejphoto.com/newsletter.htm Playa de Gueirua - Asturias, Spain (Sony a7R II, 35mm) Three Kits for Three Types of Photography One of the most common questions that people ask me is what gear I shoot with or for recommendations on what gear to take on different photographic expeditions. While the answer to this is very individual and the right set—up varies from person to person, I can tell you what I have chosen for the time being. Wildlife and Birds: I continue to use the Nikon crop sensor DX bodies for this type of photography coupled with either the Sigma 150-600mm Sport lens, the Nikon 500mm f/4VR lens or the Nikon 80-400 lens. The 500mm lens is often coupled with the latest Nikon 1.4x teleconverter to achieve a focal length of 700mm. When combining this with the 1.5x crop of the D7200 or the new D500 camera, the effective reach is sufficient for almost any subject. -
Radiant Heating with Infrared
W A T L O W RADIANT HEATING WITH INFRARED A TECHNICAL GUIDE TO UNDERSTANDING AND APPLYING INFRARED HEATERS Bleed Contents Topic Page The Advantages of Radiant Heat . 1 The Theory of Radiant Heat Transfer . 2 Problem Solving . 14 Controlling Radiant Heaters . 25 Tips On Oven Design . 29 Watlow RAYMAX® Heater Specifications . 34 The purpose of this technical guide is to assist customers in their oven design process, not to put Watlow in the position of designing (and guaranteeing) radiant ovens. The final responsibility for an oven design must remain with the equipment builder. This technical guide will provide you with an understanding of infrared radiant heating theory and application principles. It also contains examples and formulas used in determining specifications for a radiant heating application. To further understand electric heating principles, thermal system dynamics, infrared temperature sensing, temperature control and power control, the following information is also available from Watlow: • Watlow Product Catalog • Watlow Application Guide • Watlow Infrared Technical Guide to Understanding and Applying Infrared Temperature Sensors • Infrared Technical Letter #5-Emissivity Table • Radiant Technical Letter #11-Energy Uniformity of a Radiant Panel © Watlow Electric Manufacturing Company, 1997 The Advantages of Radiant Heat Electric radiant heat has many benefits over the alternative heating methods of conduction and convection: • Non-Contact Heating Radiant heaters have the ability to heat a product without physically contacting it. This can be advantageous when the product must be heated while in motion or when physical contact would contaminate or mar the product’s surface finish. • Fast Response Low thermal inertia of an infrared radiation heating system eliminates the need for long pre-heat cycles. -
Understanding Infrared Light
TEACHER/PARENT ACTIVITY MANUAL Joint Polar Satellite System Understanding Infrared Light This activity educates students about the electromagnetic spectrum, or different forms of light detected by Earth observing satellites. The Joint Polar Satellite System (JPSS), a collaborative effort between NOAA and NASA, detects various wavelengths of the electromagnetic spectrum including infrared light to measure the temperature of Earth’s surface, oceans, and atmosphere. The data from these measurements provide the nation with accurate weather forecasts, hurricane warnings, wildfire locations, and much more! Provided is a list of materials that can be purchased to complete several learning activities, including simulating infrared light by constructing homemade infrared goggles. Learning Objectives Next Generation Science Standards (Grades 5–8) Performance Disciplinary Description Expectation Core Ideas 4-PS4-1 PS4.A: • Waves, which are regular patterns of motion, can be made in water Waves and Their Wave Properties by disturbing the surface. When waves move across the surface of Applications in deep water, the water goes up and down in place; there is no net Technologies for motion in the direction of the wave except when the water meets a Information Transfer beach. (Note: This grade band endpoint was moved from K–2.) • Waves of the same type can differ in amplitude (height of the wave) and wavelength (spacing between wave peaks). 4-PS4-2 PS4.B: An object can be seen when light reflected from its surface enters the Waves and Their Electromagnetic eyes. Applications in Radiation Technologies for Information Transfer 4-PS3-2 PS3.B: Light also transfers energy from place to place. -
Pale Intrusions Into Blue: the Development of a Color Hannah Rose Mendoza
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Pale Intrusions into Blue: The Development of a Color Hannah Rose Mendoza Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY SCHOOL OF VISUAL ARTS AND DANCE PALE INTRUSIONS INTO BLUE: THE DEVELOPMENT OF A COLOR By HANNAH ROSE MENDOZA A Thesis submitted to the Department of Interior Design in partial fulfillment of the requirements for the degree of Master of Fine Arts Degree Awarded: Fall Semester, 2004 The members of the Committee approve the thesis of Hannah Rose Mendoza defended on October 21, 2004. _________________________ Lisa Waxman Professor Directing Thesis _________________________ Peter Munton Committee Member _________________________ Ricardo Navarro Committee Member Approved: ______________________________________ Eric Wiedegreen, Chair, Department of Interior Design ______________________________________ Sally Mcrorie, Dean, School of Visual Arts & Dance The Office of Graduate Studies has verified and approved the above named committee members. ii To Pepe, te amo y gracias. iii ACKNOWLEDGMENTS I want to express my gratitude to Lisa Waxman for her unflagging enthusiasm and sharp attention to detail. I also wish to thank the other members of my committee, Peter Munton and Rick Navarro for taking the time to read my thesis and offer a very helpful critique. I want to acknowledge the support received from my Mom and Dad, whose faith in me helped me get through this. Finally, I want to thank my son Jack, who despite being born as my thesis was nearing completion, saw fit to spit up on the manuscript only once. -
Infrared-Photography-Part-1-SM.Pdf
Infrared Photography John Caplis & Joyce Harman Harmany in Nature www.harmanyinnature.com www.savingdarkskies.com Why do infrared photography? Infrared photography offers many unique creative choices you can explore in image making • Excellent monochrome images • Sunlit foliage turns white • Blue skies appear very dark • False color can be applied for dream like scenes • Skin tones are ghostly white • Can be shot in the harsh light in the middle of the day A human eye can see light from 400nm to 700nm on the electromagnetic spectrum. This range is called ‘visible light’. IR photography uses “near infrared light” which is in the range of 700nm-1400nm. These wavelengths are longer than visible light and can’t be seen by humans. How IR filters work There are two types of infrared filters, ones that block IR light while passing visible light and ones that block visible light while passing infrared light. The IR blocking filters are used in stock digital cameras to prevent unwanted IR light from reaching the sensor, which is sensitive to near infrared. In infrared photography we want the opposite, to block most or all visible light and only pass infrared light. Two ways to do IR photography – Stock vs IR-Converted Cameras Stock Camera with Converted Camera with Screw-on external IR filter Internal IR filter • Dim or no preview image • No screw on filter required • No autofocus • Normally bright preview image • Exposure metering can be difficult • Autofocus using live view • High ISOs & long exposures • Exposure metering can be difficult • Requires tripod • Low ISOs • Tripod not always required Camera conversions • Life Pixel https://www.lifepixel.com • Kolari Vision https://kolarivision.com Using Stock Cameras for IR Photography Stock digital cameras have a limited range of sensitivity to infrared light. -
Digital Infrared Photography by Vega Buchbinder
Digital Infrared Photography By Vega Buchbinder The advent of digital cameras has made infrared photography relatively easily accessible. No longer does one need to handle and process infrared film in the dark under stringent conditions. In the days of film photography Kodak’s film HIE High Speed Infrared Film was the première infrared film, noted for its extensive range. Kodak has stopped making this film in 2007. Today, with a digital camera, an infrared filter, and a tripod, anyone can explore the near infrared spectrum photographically with ease and repeatable results. Using digital infrared (IR) photography one can produce fascinating images that can look surreal, or of an alternate reality. In addition one can use many variations in image rendering, ranging from black and white, to false colors, in order to create artistic images. What is infrared photography? What makes digital infrared photography possible is that the silicon sensors used in digital cameras can “see” into the infrared range of the electromagnetic spectrum. From short wavelengths to longer wavelengths, the electromagnetic spectrum is made of gamma rays, X- rays, ultraviolet rays, visible light, infrared rays, radar, FM radio, TV, and AM radio. The human eye is sensitive to wavelengths from approximately 400 to 700 nanometers (nm), which is the wavelength range for visible light. The CCD and CMOS sensors in digital cameras can easily “see” further into the infrared region to about 1050 nm, which makes IR photography with a digital camera possible today. Note that this part of the IR range is called the near infrared. Thermal infrared rays are much longer, and are not detectible by the CCD or CMOS sensors in our digital cameras. -
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions. -
Computational RYB Color Model and Its Applications
IIEEJ Transactions on Image Electronics and Visual Computing Vol.5 No.2 (2017) -- Special Issue on Application-Based Image Processing Technologies -- Computational RYB Color Model and its Applications Junichi SUGITA† (Member), Tokiichiro TAKAHASHI†† (Member) †Tokyo Healthcare University, ††Tokyo Denki University/UEI Research <Summary> The red-yellow-blue (RYB) color model is a subtractive model based on pigment color mixing and is widely used in art education. In the RYB color model, red, yellow, and blue are defined as the primary colors. In this study, we apply this model to computers by formulating a conversion between the red-green-blue (RGB) and RYB color spaces. In addition, we present a class of compositing methods in the RYB color space. Moreover, we prescribe the appropriate uses of these compo- siting methods in different situations. By using RYB color compositing, paint-like compositing can be easily achieved. We also verified the effectiveness of our proposed method by using several experiments and demonstrated its application on the basis of RYB color compositing. Keywords: RYB, RGB, CMY(K), color model, color space, color compositing man perception system and computer displays, most com- 1. Introduction puter applications use the red-green-blue (RGB) color mod- Most people have had the experience of creating an arbi- el3); however, this model is not comprehensible for many trary color by mixing different color pigments on a palette or people who not trained in the RGB color model because of a canvas. The red-yellow-blue (RYB) color model proposed its use of additive color mixing. As shown in Fig. -
Switchable Primaries Using Shiftable Layers of Color Filter Arrays
Switchable Primaries Using Shiftable Layers of Color Filter Arrays Behzad Sajadi ∗ Kazuhiro Hiwadaz Atsuto Makix Ramesh Raskar{ Aditi Majumdery Toshiba Corporation Toshiba Research Europe Camera Culture Group University of California, Irvine Cambridge Laboratory MIT Media Lab RGB Camera Our Camera Ground Truth Our Camera CMY Camera RGB Camera 8.14 15.87 Dark Scene sRGB Image 17.57 21.49 ∆E Difference ∆E Bright Scene CMY Camera Our Camera (2.36, 9.26, 1.96) (8.12, 29.30, 4.93) (7.51, 22.78, 4.39) Figure 1: Left: The CMY mode of our camera provides a superior SNR over a RGB camera when capturing a dark scene (top) and the RGB mode provides superior SNR over CMY camera when capturing a lighted scene. To demonstrate this, each image is marked with its quantitative SNR on the top left. Right: The RGBCY mode of our camera provides better color fidelity than a RGB or CMY camera for colorful scene (top). The DE deviation in CIELAB space of each of these images from a ground truth (captured using SOC-730 hyperspectral camera) is encoded as grayscale images with error statistics (mean, maximum and standard deviation) provided at the bottom of each image. Note the close match between the image captured with our camera and the ground truth. Abstract ment of the primaries in the CFA) to provide an optimal solution. We present a camera with switchable primaries using shiftable lay- We investigate practical design options for shiftable layering of the ers of color filter arrays (CFAs). By layering a pair of CMY CFAs in CFAs. -
Primary Color | 23
BRAND Style GuiDe PriMary Color | 23 PRIMARY COLOR The primary color for Brandeis IBS is Brandeis IBS Blue, which is also the color of Brandeis University. Brandeis IBS Blue is BrandeiS iBS BLUE to be used as the prominent color in all communications. The PANTONE 294 C primary color is ideal for use in: CMYK 100 | 86 | 14 | 24 • Headlines • Large areas of text RGB 0 | 46 | 108 • Large background shapes HEX #002E6C Always use the designated color values for physical and digital Brandeis IBS communications. WEB HEX for use with white backgrounds #002E6C DO NOT use a tint of the primary color. Always use the primary color at 100% saturation. PANTONE color is used in physical applications whenever possible to reinforce the visual brand identity. CMYK designation is used for physical applications as an alternative to PANTONE (with the exception of any Microsoft Office documents, which use RGB). RGB values are used for any digital communications (excluding websites and e-communications), and all Microsoft Office documents (physical or digital). HEX values are used for any digital communications (excluding websites and e-communications). The value is an exact match to RGB. WEB HEX values are designated so websites and e-communica- tions can meet accessibility requirements. This compliance will ensure that people with disabilities can use Brandeis IBS online communications. For more about accessibility, visit http://www.brandeis.edu/acserv/disabilities/index.html. For examples of how the primary color should be applied across communications, please see pages 30-44. BRAND Style GuiDe SeCondary Color | 24 SeCondary Color The secondary color for Brandeis IBS is Brandeis IBS Teal, which is to be used strongly throughout Brandeis IBS com- BrandeiS iBS teal munications. -
Visualizing the Novel Clinton Mullins Connecticut College, [email protected]
Connecticut College Digital Commons @ Connecticut College Computer Science Honors Papers Computer Science Department 2013 Visualizing the Novel Clinton Mullins Connecticut College, [email protected] Follow this and additional works at: http://digitalcommons.conncoll.edu/comscihp Part of the Computer Sciences Commons Recommended Citation Mullins, Clinton, "Visualizing the Novel" (2013). Computer Science Honors Papers. 4. http://digitalcommons.conncoll.edu/comscihp/4 This Honors Paper is brought to you for free and open access by the Computer Science Department at Digital Commons @ Connecticut College. It has been accepted for inclusion in Computer Science Honors Papers by an authorized administrator of Digital Commons @ Connecticut College. For more information, please contact [email protected]. The views expressed in this paper are solely those of the author. Visualizing Novelthe kiss me please Thesis and code written by Clint Mullins with Professor Bridget Baird as the project's faculty advisor. 1. Data Visualization Discussion of data visualization. 2. Visualizing the Novel Introduction to our problem and execution overview. 3. Related Works Technologies and libraries used for the project. .1 Semantic Meaning .2 Parsing Text .3 Topic Modeling .4 Other Visualizations 4. Methods Specific algorithms and execution details. .1 Gunning FOG Index .2 Character Extraction .3 Character Shaping .4 Gender Detection .5 Related Word Extraction .6 Moments / Emotion Spectrum / DISCO 5. The Visual Our visual model from conception to completion. .1 Concept Process .2 Current Visual Model .3 Java2D .4 Generalizing the Visual Model 6. Results Judging output on known texts. .1 Text One – Eternally .2 Text Two – Love is Better the Second Time Around .3 How Successful is This? 7. -
PRIMARY-CONSISTENT SOFT-DECISION COLOR DEMOSAIC for DIGITAL CAMERAS (Patent Pending)
PRIMARY-CONSISTENT SOFT-DECISION COLOR DEMOSAIC FOR DIGITAL CAMERAS (Patent Pending) Xiaolin Wu and Ning Zhang Department of Electrical and Computer Engineering McMaster University Hamilton, Ontario L8S 4M2 [email protected] ABSTRACT Another drawback of the existing color demosaic algorithms is that they interpolate missing color components at a Bayer color mosaic sampling scheme is widely used in digital pixel independently of the color interpolations at neighboring cameras. Given the resolution of CCD sensor arrays, the image pixels. The interpolation decision is made on a hypothesis on quality of digital cameras using Bayer sampling mosaic largely the local gradient direction. But these algorithms do not validate depends on the performance of the color demosaic process. A the underlying hypothesis after the color interpolation is done. common and serious weakness shared by all existing color The verification of the hypothesis is difficult if the pixels are demosaic algorithms is an inconsistency of sample treated individually. To overcome this drawback we introduce a interpolations in different primary color components, which is new notion of soft-decision color demosaic. At each pixel, the culprit for the most objectionable color artifacts. To cure the instead of forcing a decision on the gradient with insufficient problem we propose a primary-consistent color demosaic information to guide the interpolation, we make multiple algorithm. The performance of this algorithm is further hypotheses and interpolate missing color components for each enhanced by a soft-decision sample interpolation scheme. of the hypotheses. Then we examine the interpolation results Experiments demonstrate that the proposed framework of under different hypotheses in a window of the pixel in question, primary-consistent soft-decision color demosaic can and choose the one whose underlying hypothesis agrees with the significantly improve the image quality of digital cameras.