The Basics of Waveform Monitors and Vectorscopes
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Tau-100 Test Report S/N: 02280382
TAU-100 TEST REPORT S/N: 02280382 Prepared by: Aaron Sivacoe Date: April 8, 2005 Contents Contents ____________________________________________________________________ 2 Test Equipment______________________________________________________________ 3 Performance Specifications ____________________________________________________ 4 Visual Power Output Rating ___________________________________________________ 4 Visual Power Adjustment Capability ____________________________________________ 5 Aural Power Output Rating ___________________________________________________ 6 Carrier Frequency Tolerance __________________________________________________ 8 Visual Frequency Response __________________________________________________ 11 Intermodulation Distortion ___________________________________________________ 14 Spurious Emissions_________________________________________________________ 16 Modulation _______________________________________________________________ 18 K Pulse to Bar (Kpb) Rating__________________________________________________ 19 2T Pulse K (K2T) Rating ____________________________________________________ 20 Chrominance-Luminance Gain Inequality _______________________________________ 21 Chrominance-Luminance Delay Inequality ______________________________________ 22 Differential Gain Distortion __________________________________________________ 23 Differential Phase Distortion _________________________________________________ 24 Group Delay Response ______________________________________________________ 25 Horizontal Timing__________________________________________________________ -
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. -
Iq-Analyzer Manual
iQ-ANALYZER User Manual 6.2.4 June, 2020 Image Engineering GmbH & Co. KG . Im Gleisdreieck 5 . 50169 Kerpen . Germany T +49 2273 99 99 1-0 . F +49 2273 99 99 1-10 . www.image-engineering.de Content 1 INTRODUCTION ........................................................................................................... 5 2 INSTALLING IQ-ANALYZER ........................................................................................ 6 2.1. SYSTEM REQUIREMENTS ................................................................................... 6 2.2. SOFTWARE PROTECTION................................................................................... 6 2.3. INSTALLATION ..................................................................................................... 6 2.4. ANTIVIRUS ISSUES .............................................................................................. 7 2.5. SOFTWARE BY THIRD PARTIES.......................................................................... 8 2.6. NETWORK SITE LICENSE (FOR WINDOWS ONLY) ..............................................10 2.6.1. Overview .......................................................................................................10 2.6.2. Installation of MxNet ......................................................................................10 2.6.3. Matrix-Net .....................................................................................................11 2.6.4. iQ-Analyzer ...................................................................................................12 -
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. -
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. -
1720/1721 Vectorscope (S/N B060000 & Above) 070-5846-07
Instruction Manual 1720/1721 Vectorscope (S/N B060000 & Above) 070-5846-07 Warning The servicing instructions are for use by qualified personnel only. To avoid personal injury, do not perform any servicing unless you are qualified to do so. Refer to all safety summaries prior to performing service. www.tektronix.com Copyright E Tektronix, Inc., 1986, 1990, 1993, 1995. All rights reserved. Tektronix products are covered by U.S. and foreign patents, issued and pending. Information in this publication supersedes that in all previously published ma- terial. Specifications and price change privileges reserved. The following are registered trademarks: TEKTRONIX and TEK. For product related information, phone: 800-TEKWIDE (800-835-9433), ext. TV. For further information, contact: Tektronix, Inc., Corporate Offices, P.O. Box 1000, Wilsonville, OR 97070--1000, U.S.A. Phone: (503) 627--7111; TLX: 192825; TWX: (910) 467--8708; Cable: TEKWSGT. WARRANTY Tektronix warrants that this product, that it manufactures and sells, will be free from defects in materials and workmanship for a period of three (3) years from the date of shipment. If any such product proves defec- tive during this warranty period, Tektronix, at its option, either will repair the defective product without charge for parts and labor, or will provide a replacement in exchange for the defective product. In order to obtain service under this warranty, Customer must notify Tektronix of the defect before the expi- ration of the warranty period and make suitable arrangements for the performance of service. Customer shall be responsible for packaging and shipping the defective product to the service center designated by Tektronix, with shipping charges prepaid. -
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. -
Tektronix Television Systems Measurement Concepts 062-1064-00
Measurement Concepts Television Systems TELEVISION SYSTEM MEASUREMENTS BY GERALD A. EASTMAN MEASUREMENT CONCEPTS INTRODUCTION The primary intent of this book is to acquaint the reader with the functional elements of a television broadcast studio and some of the more common diagnostic and measurement concepts on which video measurement techniques are based. In grouping the functional elements of the broadcasting studio, two areas of primary concern can be identified -- video signal sources and the signal routing path from the source to the transmitter. The design and maintenance of these functional elements is based in large measure on their use and purpose. Understanding the use and purpose of any device always enhances the engineer's or technician's ability to maintain the performance initially designed into the equipment. The functional elements of the broadcast studio will be described in the first portion of this book including a brief discussion of how these functional elements interrelate to form an integrated system. In the broadcasting studio, once the video sources and routing systems are initially established, maintaining quality control of both the sources and the routing path becomes one of the major concerns of the broadcast engineer. Since the picture information is transmitted as a video waveform, quality control can in large measure be accomplished in terms of waveform distortions and subjective picture quality degradations. Four major test waveforms, each designed to observe and measure a specific type of distortion, are commonly used in a broadcast studio. The diagnostic information contained in each waveform will be described in the latter portion of this book in terms of the measurements commonly made with each of the four waveforms.