Teaching Students About White Balance and Color Correction Using Digital Photography by Dr
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The Art of Digital Black & White by Jeff Schewe There's Just Something
The Art of Digital Black & White By Jeff Schewe There’s just something magical about watching an image develop on a piece of photo paper in the developer tray…to see the paper go from being just a blank white piece of paper to becoming a photograph is what many photographers think of when they think of Black & White photography. That process of watching the image develop is what got me hooked on photography over 30 years ago and Black & White is where my heart really lives even though I’ve done more color work professionally. I used to have the brown stains on my fingers like any good darkroom tech, but commercially, I turned toward color photography. Later, when going digital, I basically gave up being able to ever achieve what used to be commonplace from the darkroom–until just recently. At about the same time Kodak announced it was going to stop making Black & White photo paper, Epson announced their new line of digital ink jet printers and a new ink, Ultrachrome K3 (3 Blacks- hence the K3), that has given me hope of returning to darkroom quality prints but with a digital printer instead of working in a smelly darkroom environment. Combine the new printers with the power of digital image processing in Adobe Photoshop and the capabilities of recent digital cameras and I think you’ll see a strong trend towards photographers going digital to get the best Black & White prints possible. Making the optimal Black & White print digitally is not simply a click of the shutter and push button printing. -
Fast and Stable Color Balancing for Images and Augmented Reality
Fast and Stable Color Balancing for Images and Augmented Reality Thomas Oskam 1,2 Alexander Hornung 1 Robert W. Sumner 1 Markus Gross 1,2 1 Disney Research Zurich 2 ETH Zurich Abstract This paper addresses the problem of globally balanc- ing colors between images. The input to our algorithm is a sparse set of desired color correspondences between a source and a target image. The global color space trans- formation problem is then solved by computing a smooth Source Image Target Image Color Balanced vector field in CIE Lab color space that maps the gamut of the source to that of the target. We employ normalized ra- dial basis functions for which we compute optimized shape parameters based on the input images, allowing for more faithful and flexible color matching compared to existing RBF-, regression- or histogram-based techniques. Further- more, we show how the basic per-image matching can be Rendered Objects efficiently and robustly extended to the temporal domain us- Tracked Colors balancing Augmented Image ing RANSAC-based correspondence classification. Besides Figure 1. Two applications of our color balancing algorithm. Top: interactive color balancing for images, these properties ren- an underexposed image is balanced using only three user selected der our method extremely useful for automatic, consistent correspondences to a target image. Bottom: our extension for embedding of synthetic graphics in video, as required by temporally stable color balancing enables seamless compositing applications such as augmented reality. in augmented reality applications by using known colors in the scene as constraints. 1. Introduction even for different scenes. With today’s tools this process re- quires considerable, cost-intensive manual efforts. -
Color Printing Techniques
4-H Photography Skill Guide Color Printing Techniques Enlarging Color Negatives Making your own color prints from Color Relations color negatives provides a whole new area of Before going ahead into this fascinating photography for you to enjoy. You can make subject of color printing, let’s make sure we prints nearly any size you want, from small ones understand some basic photographic color and to big enlargements. You can crop pictures for the visual relationships. composition that’s most pleasing to you. You can 1. White light (sunlight or the light from an control the lightness or darkness of the print, as enlarger lamp) is made up of three primary well as the color balance, and you can experiment colors: red, green, and blue. These colors are with control techniques to achieve just the effect known as additive primary colors. When you’re looking for. The possibilities for creating added together in approximately equal beautiful color prints are as great as your own amounts, they produce white light. imagination. You can print color negatives on conventional 2. Color‑negative film has a separate light‑ color printing paper. It’s the kind of paper your sensitive layer to correspond with each photofinisher uses. It requires precise processing of these three additive primary colors. in two or three chemical solutions and several Images recorded on these layers appear as washes in water. It can be processed in trays or a complementary (opposite) colors. drum processor. • A red subject records on the red‑sensitive layer as cyan (blue‑green). • A green subject records on the green‑ sensitive layer as magenta (blue‑red). -
Simplest Color Balance
Published in Image Processing On Line on 2011{10{24. Submitted on 2011{00{00, accepted on 2011{00{00. ISSN 2105{1232 c 2011 IPOL & the authors CC{BY{NC{SA This article is available online with supplementary materials, software, datasets and online demo at http://dx.doi.org/10.5201/ipol.2011.llmps-scb 2014/07/01 v0.5 IPOL article class Simplest Color Balance Nicolas Limare1, Jose-Luis Lisani2, Jean-Michel Morel1, Ana Bel´enPetro2, Catalina Sbert2 1 CMLA, ENS Cachan, France ([email protected], [email protected]) 2 TAMI, Universitat Illes Balears, Spain (fjoseluis.lisani, anabelen.petro, [email protected]) Abstract In this paper we present the simplest possible color balance algorithm. The assumption under- lying this algorithm is that the highest values of R, G, B observed in the image must correspond to white, and the lowest values to obscurity. The algorithm simply stretches, as much as it can, the values of the three channels Red, Green, Blue (R, G, B), so that they occupy the maximal possible range [0, 255] by applying an affine transform ax+b to each channel. Since many images contain a few aberrant pixels that already occupy the 0 and 255 values, the proposed method saturates a small percentage of the pixels with the highest values to 255 and a small percentage of the pixels with the lowest values to 0, before applying the affine transform. Source Code The source code (ANSI C), its documentation, and the online demo are accessible at the IPOL web page of this article1. -
Guided Tour of Color Space
A Guided Tour of Color Space Charles Poynton This article describes the theory of color repro- dent radiation with different spectral response duction in video, and some of the engineering curves. Because there are exactly three types of compromises necessary to make practical color photoreceptors, three components are cameras and practical coding systems. necessary and sufficient to describe a color, providing that appropriate spectral weighting Video processing is generally concerned with functions are used: Color vision is inherently color represented in three components derived trichromatic. from the scene, usually red, green, and blue or components computed from these. Once red, A fourth type of photoreceptor cell, the rod, is green, and blue components of a scene are also present in the retina. Rods are effective only obtained, color coding systems transform these at extremely low light intensities. Because there components into other forms suitable for is only one type of rod cell, “night vision” cannot processing, recording, and transmission. Accu- perceive color. Image reproduction takes place at rate color reproduction depends on knowledge light levels sufficiently high that the rod recep- of exactly how the physical spectra of the orig- tors play no role. inal scene are transformed into these compo- nents and exactly how the color components are Isaac Newton said, “Indeed rays, properly transformed to physical spectra at the display. expressed, are not colored.” Spectral power distributions (SPDs) exist in the physical world, I use the term luminance and the symbol Y to but color exists only in the eye and the brain. refer to true, CIE luminance, a linear-light quan- tity proportional to physical intensity. -
Color Balance
TECHNOLOGY 3.2 – ADOBE® PHOTOSHOP® MINUTE7 STARTER Color Balance OBJECTIVES STEP 1 | LEARN By reviewing the Color Balance tutorial, students will learn how to modify the color balance of a photograph using Adobe® Photoshop®. STEP 2 | PRACTICE Students will use the Color Balance tutorial as a reference as they change the color balance of a photograph. Note: A practice photo is provided in the tutorial folder. STEP 3 | USE Students will apply knowledge when editing and reviewing photographs being published. 21ST CENTURY SKILLS Employment in the 21st century requires the ability to learn and use technology appropriately and effectively. Adobe Photoshop is an industry-standard software that allows for creative thinking. COMMON CORE ISTE STANDARDS ISTE STATE STANDARDS 1B: Create original works. ELA-Literacy.SL.9-12.5, CCRA.SL.5 6A: Understand and use technology systems. Make strategic use of digital media to 6B: Select and use applications effectively enhance understanding. and productively. 6C: Troubleshoot systems and applications. Do you have an idea for a 7-Minute Starter? Email us at [email protected] 14-0610 Color Balance Sometimes an image may have a slight color cast, either due to White Balance issues with the camera or simply because of artificial lighting indoors where the photo was taken. Color can be quickly neutralized by using Adobe® Photoshop’s® Auto Color feature located under the Image Tab. Auto Color adjusts the contrast and color of an image by searching the image to identify shadows, mid-tones and highlights. If the Auto Color tool doesn’t do the trick — the following method is an easy way to help remove the color cast from a photo using the Neutral Color Picker and may produce better results. -
Color Management Guide Printing with Epson Premium ICC Profiles Copyright Notice All Rights Reserved
Epson Professional Imaging Color Management Guide Printing With Epson Premium ICC Profiles Copyright Notice All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of Seiko Epson Corporation. The information contained herein is designed only for use with this Epson product. Epson is not responsible for any use of this information as applied to other equipment. Neither Seiko Epson Corporation nor its affiliates shall be liable to the purchaser of this product or third parties for damages, losses, costs, or expenses incurred by purchaser or third parties as a result of: accident, misuse, or abuse of this product or unauthorized modifications, repairs, or alterations to this product, or (excluding the U.S.) failure to strictly comply with Seiko Epson Corporation’s operating and maintenance instructions. Seiko Epson Corporation shall not be liable for any damages or problems arising from the use of any options or any consumable products other than those designated as Original Epson Products or Epson Approved Products by Seiko Epson Corporation. Responsible Use of Copyrighted Materials Epson encourages each user to be responsible and respectful of the copyright laws when using any Epson product. While some countries’ laws permit limited copying or reuse of copyrighted material in certain circumstances, those circumstances may not be as broad as some people assume. Contact your legal advisor for any questions regarding copyright law. Trademarks Epson and Epson Stylus are registered trademarks, and Epson Exceed Your Vision is a registered logomark of Seiko Epson Corporation. -
Color Management Scanner Digital Camera Mobile Phone
Graphic Arts Workflow Lecture 12 Color Management Scanner Digital Camera Mobile Phone Device independent Color Representation ICC Profiles Gamut Mapping Image retouching Page Layout DFE Proofer Digital Printers Press Color Management Images look different on each device. Original Image Scanner Image Printer Image Images look different on each device. Color Management Device Differences Variations are due to: • Spectral distribution of the device components Difference in Spatial Resolutions (phosphors, filters, sensors)’ • Viewing conditions (dark/light, indoor/outdoors, illumination spectra) Printers 300-1200 dpi 1-4 intensity bits • media CRT Pitch 0.27 µ, 72 ppi, (projected/reflected light or print). TV 480 lines (analog) LCD 100 ppi, 8 intensity bits Camera 2 Megapixel, 10 intensity bits Scanner 600 dpi, 12 intensity bits Solution: Define a transform to map colors from color space of one device (source) to color space of another device (destination). Device Differences Device Differences Difference in Contrast and Brightness Range Difference in White Point QImagingKodak Nikon Genoacolor Device Differences Device Differences Difference in Gamut Difference in Gamut Monitor Gamut Printer Gamut Film Monitor Device Differences Gamut Mismatch Difference in Gamut How does one print this color? 0.8 display printer Scanner 0.6 y 0.4 0.2 Monitor 0 0 0.2 0.4 0.6 0.8 x This color never needed? printer Gamut Mismatch Gamut Mismatch How does one print this color? 0.8 display printer 0.6 y 0.4 0.2 0 0 0.2 0.4 0.6 0.8 x How does one display this color? The problem is twofold: 1) Differences in device representation 2) Differences in Gamut Size and Shape Gamut Mapping Gamut Mapping - Example In order to transfer color information between a source device and a destination device, one must define a mapping between the source Gamut to destination the destination Gamut. -
Comparing Appearance Models Using Pictorial Images
Comparing Appearance Models Using Pictorial Images Taek Gyu Kim, Roy S. Berns, and Mark D. Fairchild Munsell Color Science Laboratory, Center for Imaging Science Rochester Institute of Technology, Rochester, New York Eight different color appearance models were tested using Appearance-Model Overview pictorial images. A psychophysical paired comparison ex- von Kries periment was performed where 30 color-normal observers ′ = ⋅ judged reference and test images via successive-Ganzfeld L kL L haploscopic viewing such that each eye maintained con- M′ = k ⋅ M stant chromatic adaptation and inter-ocular interactions M (1) ′ = ⋅ were minimized. It was found that models based on von S kS S Kries had best performance, specifically CIELAB, HUNT, RLAB, and von Kries. where L, M , and S represent the excitations of the long-, middle-, and short-wavelength sensitive cones, L′, M′, and ′ Introduction S represent the post-adaptation cone signals, and kL , kM , and kS are the multiplicative factors, generally taken to be Color appearance models are necessary to incorporate the inverse of the respective maximum cone excitations for into the color WYSIWYG chain when images are viewed the illuminating condition.3,4 The calculation of the cone under dissimilar conditions such as illumination spectral fundamentals is a linear transformation of CIE tristimulus power distribution and luminance, surround relative lu- values. In this case the Stiles-Estevez-Hunt-Pointer funda- minance, and media type where cognition is affected. mentals were used.2,9,17 (These are also used in the Hunt, These differing conditions often occur when compar- Nayatani, and RLAB models.) ing CRT and printed images, CRT and projected slides, or rear-illuminated transparencies and CRT or printed CIELAB images. -
Introduction to Basic Color Photography Edition Date
SUBCOURSE EDITION SS0514 A INTRODUCTION TO BASIC COLOR PHOTOGRAPHY EDITION DATE: SEPTEMBER 1994 INTRODUCTION TO BASIC COLOR PHOTOGRAPHY Subcourse Number SS0514 EDITION A United States Army Signal Center and School Fort Gordon, GA 30905-5074 5 Credit Hours Edition Date: September 1994 SUBCOURSE OVERVIEW This subcourse presents you with information on color photography, including theory, exposure, and printmaking. Topics covered include the theory of light, how colors are formed, and color print materials--their structure and exposure. Color negative developing using the popular C-41 process is explained, as well as the Ektaprint 2 process that is most often used to make color prints from negatives. The E6 reversal processing and the two methods of making prints from slides are examined (color coupler (conventional reversal paper) and dye destruction (like Cibachrome)). In addition, this subcourse defines general quality control procedures. Since duplicate transparencies are often required, the generation process is explained. There are no prerequisites for this subcourse. This subcourse reflects the doctrine which was current at the time it was prepared. In your own work situation, always refer to the latest official publications. Unless otherwise stated, the masculine gender of singular pronouns is used to refer to both men and women. TERMINAL LEARNING OBJECTIVE ACTION: You will identify procedures for color negative printing techniques, color reversal film processing and printing, and slide duplicating techniques. CONDITION: You will be given information from TM 11-401-2, STP 11- 25S13-SM-TG, and Photographer's Mate Training Series NAVEDTRA 373-02-45-83, MOD 2. STANDARD: To demonstrate competency of this task, you must achieve a minimum score of 70% on the subcourse examination. -
Color Photography, an Instrumentality of Proof Edwin Conrad
Journal of Criminal Law and Criminology Volume 48 | Issue 3 Article 10 1957 Color Photography, an Instrumentality of Proof Edwin Conrad Follow this and additional works at: https://scholarlycommons.law.northwestern.edu/jclc Part of the Criminal Law Commons, Criminology Commons, and the Criminology and Criminal Justice Commons Recommended Citation Edwin Conrad, Color Photography, an Instrumentality of Proof, 48 J. Crim. L. Criminology & Police Sci. 321 (1957-1958) This Criminology is brought to you for free and open access by Northwestern University School of Law Scholarly Commons. It has been accepted for inclusion in Journal of Criminal Law and Criminology by an authorized editor of Northwestern University School of Law Scholarly Commons. POLICE SCIENCE COLOR PHOTOGRAPHY, AN INSTRUMENTALITY OF PROOF EDWIN CONRAD The author is a practicing attorney in Madison, Wisconsin. He is a graduate of the University of Wisconsin and the University of Wisconsin Law School, and in addition holds a degree of Master of Arts from this same institution. Mr. Conrad is the author of two books, Modern Trial Evidence (1956) and Wisconsin Evidence (1949). He has served as a lecturer on the law of evidence and scientific evidence at the University of Wisconsin, and is a member of the American Law Institute and the American Acad- emy of Forensic Sciences.-EmroR HISTORICAL HIGHLIGHTS Color photography, the miracle of modem science, is popularly assumed to be of recent origin. Yet we know that the first attempts at reproducing color chemically were made by Prof. T. J. Seebeck of Jena who in 1810, long before photography had even been discovered, observed that if moistened silver chloride were allowed to darken on paper and then exposed to different colors of light, the silver chloride would approximate the colors that had effected it. -
Color Appearance Models Second Edition
Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Color Appearance Models Wiley–IS&T Series in Imaging Science and Technology Series Editor: Michael A. Kriss Formerly of the Eastman Kodak Research Laboratories and the University of Rochester The Reproduction of Colour (6th Edition) R. W. G. Hunt Color Appearance Models (2nd Edition) Mark D. Fairchild Published in Association with the Society for Imaging Science and Technology Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Copyright © 2005 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) 1243 779777 This book was previously publisher by Pearson Education, Inc Email (for orders and customer service enquiries): [email protected] Visit our Home Page on www.wileyeurope.com or www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or emailed to [email protected], or faxed to (+44) 1243 770571. This publication is designed to offer Authors the opportunity to publish accurate and authoritative information in regard to the subject matter covered.