Working with Color
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The Castle Studies Group Bulletin
THE CASTLE STUDIES GROUP BULLETIN Volume 21 April 2016 Enhancements to the CSG website for 2016 INSIDE THIS ISSUE The CSG website’s ‘Research’ tab is receiving a make-over. This includes two new pages in addition to the well-received ‘Shell-keeps’ page added late last News England year. First, there now is a section 2-5 dealing with ‘Antiquarian Image Resources’. This pulls into one News Europe/World hypertext-based listing a collection 6-8 of museums, galleries, rare print vendors and other online facilities The Round Mounds to enable members to find, in Project one place, a comprehensive view 8 of all known antiquarian prints, engravings, sketches and paintings of named castles throughout the News Wales UK. Many can be enlarged on screen 9-10 and downloaded, and freely used in non-commercial, educational material, provided suitable credits are given, SMA Conference permissions sought and copyright sources acknowledged. The second page Report deals with ‘Early Photographic Resources’. This likewise brings together 10 all known sources and online archives of early Victorian photographic material from the 1840s starting with W H Fox Talbot through to the early Obituary 20th century. It details the early pioneers and locates where the earliest 11 photographic images of castles can be found. There is a downloadable fourteen-page essay entitled ‘Castle Studies and the Early Use of the CSG Conference Camera 1840-1914’. This charts the use of photographs in early castle- Report related publications and how the presentation and technology changed over 12 the years. It includes a bibliography and a list of resources. -
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. -
Enhancing the Home Automation Experience
Enhancing the home automation experience When it comes selecting the appropriate CMOS image sensor for a home automation IoT device what do you need to take into account? Radhika Arora explains ensors are at the heart of the are called zoom lenses, those with the lens, and the focal length of the Internet of Things (IoT) Ixed focal length are prime lenses. lens. Larger aperture (smaller f- revolution and most Within Ixed focal length, lenses of number) results in a shallower DOF. Sapplications will deploy multiple shorter focal length are called wide- Closer focus distance results in a sensors including an image sensor. angle lenses (14 to 35mm, 114 to shallower DOF, which is appropriate for The more compelling home automation 64°). Longer-focal-length lenses are artistic imaging. It focuses on the products tend to deploy cameras referred to as long-focus lenses subject at hand and dims out the which are commonly based around a (85mm to >300mm, 30° to <1° FOV) background, highlighting the main CMOS image sensor and this, coupled and are used to magnify distant object. For a given f-number, increasing with sophisticated computer vision objects. the magniIcation, either by moving the algorithms, look set to become the For example, home security camera closer to the subject or using ‘brains’ of the smart home. cameras which make up a large a lens of greater focal length, Field of View (FOV) is what is visible portion of the IoT typically have wide decreases the DOF; decreasing through the camera at a particular angle Ixed focal length lenses with magniIcation increases DOF. -
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. -
Mirrors of Madness: a Semiotic Analysis of Psychiatric Photography
MIRRORS OF MADNESS: A SEMIOTIC ANALYSIS OF PSYCHIATRIC PHOTOGRAPHY A THESIS Presented to the Visual and Critical Studies Program Kendall College of Art and Design, Ferris State University In Partial Fulfillment of the Requirements for the Degree Master of Arts in Visual and Critical Studies By Jacob Wiseheart March 2019 TABLE OF CONTENTS Abstract……………………………………………………...…………………………….……i List of Figures………………………...…………………………………………………….…..ii Acknowledgements……………………………………………………………………….……iv Chapter 1: Introduction……………………………………………………………………..…..1 Chapter 2: Proposed Chronology of Madness…………….………………………………..…..8 Chapter 3: English Diagnostic Photography: Case Study I……………………………………12 Chapter 4: French Hysterical Photography: Case Study II…………………………………….21 Chapter 5: Treatment Photography in the United States: Case Study III.……………………..31 Chapter 6: Conclusion…………………………………………………………………………42 Bibliography…………………………………………………………………………………...45 Figures…………………………………………………………………………………………47 i ABSTRACT At the surface, madness appears to be the quality of the mentally ill and is constructed by Western Society into a complex and nuanced ideology. Western culture reinforces the belief that madness and mental illness are synonymous, from the television we watch, the images we share endlessly on social media, to the very language we use when we confront someone whom we believe is mentally ill. All previous platforms of communication illustrate our constructed view of the mentally ill. The conflation of the terms madness and mental illness occurs mainly because the visual and non-visual culture of madness is riddled with misunderstandings. Misunderstandings that have spread themselves through both the visual and non-visual aspects of contemporary culture by way of psychiatric photography. This thesis examines the visual culture of psychiatric photography that was used in the diagnosis and treatment of mentally ill patients in English, French and North American asylums largely in the nineteenth and early twentieth centuries. -
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. -
How to Pass Quality Control
How to pass Quality Control This guide offers an overview of our most common failure reasons. We recommend you check your images at 100% against this guide before submitting to make sure they pass QC. If you have any questions about QC see our FAQs, contributor help pages or email [email protected]. Version 1.0 Failed image reasons We fail images submitted to us for a number of reasons; below we have listed some of the most common QC failure reasons and included some examples so you can spot the issues with your images. Here are some example failure reasons and images. Name Description Image example Image example (100%) Blemishes – Dust, Small dark circles/marks, noticeable in scratches or sensor dust areas of flat colour such as skies Blurred or soft image giving the Camera shake impression that the camera moved when the photo was taken Chromatic aberration or Magenta/cyan fringing, particularly ‘coloured fringing’ noticeable on wide angle shots 2 · Quality control Still need help? Get in touch: alamy.com [email protected] Failed image reasons (continued) Name Description Image example Image example (100%) This is caused by having an incorrect white Colour cast balance Blocky or patchy appearance in areas of Compression artifacts flat colour, caused by compressing your files too much Double edges, or artifacts. Don’t sharpen, Excessive sharpening leave it to the customer Artifacts & degradation of detail that can Interpolation artifacts look noisy and soft 3 · Quality control Still need help? Get in touch: alamy.com [email protected] -
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.