ITP Colour Space and Its Compression Performance for High Dynamic Range and Wide Colour Gamut Video Distribution
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Creating 4K/UHD Content Poster
Creating 4K/UHD Content Colorimetry Image Format / SMPTE Standards Figure A2. Using a Table B1: SMPTE Standards The television color specification is based on standards defined by the CIE (Commission 100% color bar signal Square Division separates the image into quad links for distribution. to show conversion Internationale de L’Éclairage) in 1931. The CIE specified an idealized set of primary XYZ SMPTE Standards of RGB levels from UHDTV 1: 3840x2160 (4x1920x1080) tristimulus values. This set is a group of all-positive values converted from R’G’B’ where 700 mv (100%) to ST 125 SDTV Component Video Signal Coding for 4:4:4 and 4:2:2 for 13.5 MHz and 18 MHz Systems 0mv (0%) for each ST 240 Television – 1125-Line High-Definition Production Systems – Signal Parameters Y is proportional to the luminance of the additive mix. This specification is used as the color component with a color bar split ST 259 Television – SDTV Digital Signal/Data – Serial Digital Interface basis for color within 4K/UHDTV1 that supports both ITU-R BT.709 and BT2020. 2020 field BT.2020 and ST 272 Television – Formatting AES/EBU Audio and Auxiliary Data into Digital Video Ancillary Data Space BT.709 test signal. ST 274 Television – 1920 x 1080 Image Sample Structure, Digital Representation and Digital Timing Reference Sequences for The WFM8300 was Table A1: Illuminant (Ill.) Value Multiple Picture Rates 709 configured for Source X / Y BT.709 colorimetry ST 296 1280 x 720 Progressive Image 4:2:2 and 4:4:4 Sample Structure – Analog & Digital Representation & Analog Interface as shown in the video ST 299-0/1/2 24-Bit Digital Audio Format for SMPTE Bit-Serial Interfaces at 1.5 Gb/s and 3 Gb/s – Document Suite Illuminant A: Tungsten Filament Lamp, 2854°K x = 0.4476 y = 0.4075 session display. -
Ultra HD Playout & Delivery
Ultra HD Playout & Delivery SOLUTION BRIEF The next major advancement in television has arrived: Ultra HD. By 2020 more than 40 million consumers around the world are projected to be watching close to 250 linear UHD channels, a figure that doesn’t include VOD (video-on-demand) or OTT (over-the-top) UHD services. A complete UHD playout and delivery solution from Harmonic will help you to meet that demand. 4K UHD delivers a screen resolution four times that of 1080p60. Not to be confused with the 4K digital cinema format, a professional production and cinema standard with a resolution of 4096 x 2160, UHD is a broadcast and OTT standard with a video resolution of 3840 x 2160 pixels at 24/30 fps and 8-bit color sampling. Second-generation UHD specifications will reach a frame rate of 50/60 fps at 10 bits. When combined with advanced technologies such as high dynamic range (HDR) and wide color gamut (WCG), the home viewing experience will be unlike anything previously available. The expected demand for UHD content will include all types of programming, from VOD movie channels to live global sporting events such as the World Cup and Olympics. UHD-native channel deployments are already on the rise, including the first linear UHD channel in North America, NASA TV UHD, launched in 2015 via a partnership between Harmonic and NASA’s Marshall Space Flight Center. The channel highlights incredible imagery from the U.S. space program using an end-to-end UHD playout, encoding and delivery solution from Harmonic. The Harmonic UHD solution incorporates the latest developments in IP networking and compression technology, including HEVC (High- Efficiency Video Coding) signal transport and HDR enhancement. -
Khronos Data Format Specification
Khronos Data Format Specification Andrew Garrard Version 1.2, Revision 1 2019-03-31 1 / 207 Khronos Data Format Specification License Information Copyright (C) 2014-2019 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. This version of the Data Format Specification is published and copyrighted by Khronos, but is not a Khronos ratified specification. Accordingly, it does not fall within the scope of the Khronos IP policy, except to the extent that sections of it are normatively referenced in ratified Khronos specifications. Such references incorporate the referenced sections into the ratified specifications, and bring those sections into the scope of the policy for those specifications. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. -
Yasser Syed & Chris Seeger Comcast/NBCU
Usage of Video Signaling Code Points for Automating UHD and HD Production-to-Distribution Workflows Yasser Syed & Chris Seeger Comcast/NBCU Comcast TPX 1 VIPER Architecture Simpler Times - Delivering to TVs 720 1920 601 HD 486 1080 1080i 709 • SD - HD Conversions • Resolution, Standard Dynamic Range and 601/709 Color Spaces • 4:3 - 16:9 Conversions • 4:2:0 - 8-bit YUV video Comcast TPX 2 VIPER Architecture What is UHD / 4K, HFR, HDR, WCG? HIGH WIDE HIGHER HIGHER DYNAMIC RESOLUTION COLOR FRAME RATE RANGE 4K 60p GAMUT Brighter and More Colorful Darker Pixels Pixels MORE FASTER BETTER PIXELS PIXELS PIXELS ENABLED BY DOLBYVISION Comcast TPX 3 VIPER Architecture Volume of Scripted Workflows is Growing Not considering: • Live Events (news/sports) • Localized events but with wider distributions • User-generated content Comcast TPX 4 VIPER Architecture More Formats to Distribute to More Devices Standard Definition Broadcast/Cable IPTV WiFi DVDs/Files • More display devices: TVs, Tablets, Mobile Phones, Laptops • More display formats: SD, HD, HDR, 4K, 8K, 10-bit, 8-bit, 4:2:2, 4:2:0 • More distribution paths: Broadcast/Cable, IPTV, WiFi, Laptops • Integration/Compositing at receiving device Comcast TPX 5 VIPER Architecture Signal Normalization AUTOMATED LOGIC FOR CONVERSION IN • Compositing, grading, editing SDR HLG PQ depends on proper signal BT.709 BT.2100 BT.2100 normalization of all source files (i.e. - Still Graphics & Titling, Bugs, Tickers, Requires Conversion Native Lower-Thirds, weather graphics, etc.) • ALL content must be moved into a single color volume space. Normalized Compositing • Transformation from different Timeline/Switcher/Transcoder - PQ-BT.2100 colourspaces (BT.601, BT.709, BT.2020) and transfer functions (Gamma 2.4, PQ, HLG) Convert Native • Correct signaling allows automation of conversion settings. -
How Close Is Close Enough? Specifying Colour Tolerances for Hdr and Wcg Displays
HOW CLOSE IS CLOSE ENOUGH? SPECIFYING COLOUR TOLERANCES FOR HDR AND WCG DISPLAYS Jaclyn A. Pytlarz, Elizabeth G. Pieri Dolby Laboratories Inc., USA ABSTRACT With a new high-dynamic-range (HDR) and wide-colour-gamut (WCG) standard defined in ITU-R BT.2100 (1), display and projector manufacturers are racing to extend their visible colour gamut by brightening and widening colour primaries. The question is: how close is close enough? Having this answer is increasingly important for both consumer and professional display manufacturers who strive to balance design trade-offs. In this paper, we present “ground truth” visible colour differences from a psychophysical experiment using HDR laser cinema projectors with near BT.2100 colour primaries up to 1000 cd/m2. We present our findings, compare colour difference metrics, and propose specifying colour tolerances for HDR/WCG displays using the ΔICTCP (2) metric. INTRODUCTION AND BACKGROUND From initial display design to consumer applications, measuring colour differences is a vital component of the imaging pipeline. Now that the industry has moved towards displays with higher dynamic range as well as wider, more saturated colours, no standardized method of measuring colour differences exists. In display calibration, aside from metamerism effects, it is crucial that the specified tolerances align with human perception. Otherwise, one of two undesirable situations might result: first, tolerances are too large and calibrated displays will not appear to visually match; second, tolerances are unnecessarily tight and the calibration process becomes uneconomic. The goal of this paper is to find a colour difference measurement metric for HDR/WCG displays that balances the two and closely aligns with human vision. -
Khronos Data Format Specification
Khronos Data Format Specification Andrew Garrard Version 1.3.1 2020-04-03 1 / 281 Khronos Data Format Specification License Information Copyright (C) 2014-2019 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. This version of the Data Format Specification is published and copyrighted by Khronos, but is not a Khronos ratified specification. Accordingly, it does not fall within the scope of the Khronos IP policy, except to the extent that sections of it are normatively referenced in ratified Khronos specifications. Such references incorporate the referenced sections into the ratified specifications, and bring those sections into the scope of the policy for those specifications. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. -
JPEG-HDR: a Backwards-Compatible, High Dynamic Range Extension to JPEG
JPEG-HDR: A Backwards-Compatible, High Dynamic Range Extension to JPEG Greg Ward Maryann Simmons BrightSide Technologies Walt Disney Feature Animation Abstract What we really need for HDR digital imaging is a compact The transition from traditional 24-bit RGB to high dynamic range representation that looks and displays like an output-referred (HDR) images is hindered by excessively large file formats with JPEG, but holds the extra information needed to enable it as a no backwards compatibility. In this paper, we demonstrate a scene-referred standard. The next generation of HDR cameras simple approach to HDR encoding that parallels the evolution of will then be able to write to this format without fear that the color television from its grayscale beginnings. A tone-mapped software on the receiving end won’t know what to do with it. version of each HDR original is accompanied by restorative Conventional image manipulation and display software will see information carried in a subband of a standard output-referred only the tone-mapped version of the image, gaining some benefit image. This subband contains a compressed ratio image, which from the HDR capture due to its better exposure. HDR-enabled when multiplied by the tone-mapped foreground, recovers the software will have full access to the original dynamic range HDR original. The tone-mapped image data is also compressed, recorded by the camera, permitting large exposure shifts and and the composite is delivered in a standard JPEG wrapper. To contrast manipulation during image editing in an extended color naïve software, the image looks like any other, and displays as a gamut. -
KONA Series Capture, Display, Convert
KONA Series Capture, Display, Convert Installation and Operation Manual Version 16.1 Published July 14, 2021 Notices Trademarks AJA® and Because it matters.® are registered trademarks of AJA Video Systems, Inc. for use with most AJA products. AJA™ is a trademark of AJA Video Systems, Inc. for use with recorder, router, software and camera products. Because it matters.™ is a trademark of AJA Video Systems, Inc. for use with camera products. Corvid Ultra®, lo®, Ki Pro®, KONA®, KUMO®, ROI® and T-Tap® are registered trademarks of AJA Video Systems, Inc. AJA Control Room™, KiStor™, Science of the Beautiful™, TruScale™, V2Analog™ and V2Digital™ are trademarks of AJA Video Systems, Inc. All other trademarks are the property of their respective owners. Copyright Copyright © 2021 AJA Video Systems, Inc. All rights reserved. All information in this manual is subject to change without notice. No part of the document may be reproduced or transmitted in any form, or by any means, electronic or mechanical, including photocopying or recording, without the express written permission of AJA Video Systems, Inc. Contacting AJA Support When calling for support, have all information at hand prior to calling. To contact AJA for sales or support, use any of the following methods: Telephone +1.530.271.3190 FAX +1.530.271.3140 Web https://www.aja.com Support Email [email protected] Sales Email [email protected] KONA Capture, Display, Convert v16.1 2 www.aja.com Contents Notices . .2 Trademarks . 2 Copyright . 2 Contacting AJA Support . 2 Chapter 1 – Introduction . .5 Overview. .5 KONA Models Covered in this Manual . -
Senior Tech Tuesday 11 Iphone Camera App Tour
More Info: Links.SeniorTechClub.com/Tuesdays Welcome to Senior Tech Tuesday Live: 1/19/2021 Photography Series Tour of the Camera App Don Frederiksen Our Tuesday Focus ➢A Tour of the Camera App - Getting Beyond Point & Shoot ➢Selfies ➢Flash ➢Zoom ➢HDR is Good ➢What is a Live Photo ➢Focus & Exposure ➢Filters ➢Better iPhone Photography Tip ➢What’s Next www.SeniorTechClub.com Zoom Setup Zoom Speaker View Computer iPad or laptop Laptop www.SeniorTechClub.com Our Learning Tools ◦ Zoom Video Platform ◦ Slides – Downloadable from class page ◦ Demonstrations ◦ Your Questions ◦ “Hey Don” or Chat ◦ Email: [email protected] ◦ Online Class Page at: Links.SeniorTechClub.com/STT11 ◦ Tuesdays Page for Future Topics Links.SeniorTechClub.com/tuesdays www.SeniorTechClub.com Our Class Page Find our class page at: ◦ Links.SeniorTechClub.com/STT11 ◦ Bottom of the Tuesday page Purpose of the Class Page ◦ Relevant Information ◦ Fill in gaps from the online session ◦ Participate w/o being online www.SeniorTechClub.com Tour of our Class Page Slide Deck Video Archive Links & Resources Recipes & Nuggets www.SeniorTechClub.com A Tour of the Camera App Poll www.SeniorTechClub.com A Tour of the Camera App - Classic www.SeniorTechClub.com A Tour of the Camera App - New www.SeniorTechClub.com Switch Camera - Selfie Reminder: Long Press Shortcut Zoom Two kinds of zoom on iPhones Optical Zoom via a Lens Zoom Digital Zoom via a Pinch Better to zoom with your feet then digital Zoom Digital Zoom – Pinch Screen in or out Optical ◦ If your iPhone has more than one lens, tap: ◦ .5x or 1x or 2x (varies by model) Flash Focus & Exposure HDR Photos High Dynamic Range iPhone takes multiple photos to balance shadows and highlights. -
JPEG Compatible Coding of High Dynamic Range Imagery Using Tone Mapping Operators
JPEG Compatible Coding of High Dynamic Range Imagery using Tone Mapping Operators Min Chen1, Guoping Qiu1, Zhibo Chen2 and Charles Wang2 1School of Computer Science, The University of Nottingham, UK 2Thomson Broadband R&D (Beijing) Co., Ltd, China Abstract. In this paper, we introduce a new method for HDR imaging remain. For example, to display HDR compressing high dynamic range (HDR) imageries. Our images in conventional CRT or print HDR image on method exploits the fact that tone mapping is a necessary paper, the dynamic range of the image has to be operation for displaying HDR images on low dynamic compressed or the HDR image has to be tone mapped. range (LDR) reproduction media and seamlessly Even though there has been several tone mapping integrates tone mapping with a well-established image methods in the literature [3 - 12], non so far can compression standard to produce a HDR image universally produce satisfactorily results. Another huge compression technique that is backward compatible with challenge is efficient storage of HDR image. Compared established standards. We present a method to handle with conventional 24-bit/pixel images, HDR image is 96 color information so that HDR image can be gracefully bits/pixel and data is stored as 32-bit floating-point reconstructed from the tone mapped LDR image and numbers instead of 8-bit integer numbers. The data rate extra information stored with it. We present experimental using lossless coding, e.g, in OpenEXR [15], will be too results to demonstrate that the proposed technique works high especially when it comes to HDR video. -
LIVE 15 Better Iphone Photos – Beyond Point
Welcome to Senior Tech Club Please Stand By! LIVE! We will begin at With Don Frederiksen 10 AM CDT Welcome to Senior Tech Club LIVE! With Don Frederiksen www.SeniorTechClub.com Today’s LIVE! Focus ➢The iPhone has a Great Camera ➢Getting Beyond Point & Click ➢Rule of Thirds for Composition ➢HDR is Good ➢What is a Live Photo ➢Video Mode ➢Pano ➢What’s Next Questions: Text to: 612-930-2226 or YouTube Chat Housekeeping & Rules ➢Pretend that we are sitting around the kitchen table. ➢I Cannot See You!! ➢I Cannot Hear You!! ➢Questions & Comments ➢Chat at the YouTube Site ➢Send me a text – 612-930-2226 ➢Follow-up Question Email: [email protected] Questions: Text to: 612-930-2226 or YouTube Chat The iPhone puts a Good Camera in your pocket Questions: Text to: 612-930-2226 or YouTube Chat The iPhone puts a Good Camera in your pocket For Inspiration: Ippawards.com/gallery Questions: Text to: 612-930-2226 or YouTube Chat Typical iPhone Photographer Actions: 1. Tap Camera icon 2. Tap Shutter Questions: Text to: 612-930-2226 or YouTube Chat The iPhone puts a Good Camera in your pocket Let’s Use it to the Max Questions: Text to: 612-930-2226 or YouTube Chat The Camera App Questions: Text to: 612-930-2226 or YouTube Chat Rule of Thirds Questions: Text to: 612-930-2226 or YouTube Chat Rule of Thirds Google Search of Photography Rule of Thirds Images Questions: Text to: 612-930-2226 or YouTube Chat iPhone Grid Support Questions: Text to: 612-930-2226 or YouTube Chat Turn on the Grid Launch the Settings app. -
High Dynamic Range Video
High Dynamic Range Video Karol Myszkowski, Rafał Mantiuk, Grzegorz Krawczyk Contents 1 Introduction 5 1.1 Low vs. High Dynamic Range Imaging . 5 1.2 Device- and Scene-referred Image Representations . ...... 7 1.3 HDRRevolution ............................ 9 1.4 OrganizationoftheBook . 10 1.4.1 WhyHDRVideo? ....................... 11 1.4.2 ChapterOverview ....................... 12 2 Representation of an HDR Image 13 2.1 Light................................... 13 2.2 Color .................................. 15 2.3 DynamicRange............................. 18 3 HDR Image and Video Acquisition 21 3.1 Capture Techniques Capable of HDR . 21 3.1.1 Temporal Exposure Change . 22 3.1.2 Spatial Exposure Change . 23 3.1.3 MultipleSensorswithBeamSplitters . 24 3.1.4 SolidStateSensors . 24 3.2 Photometric Calibration of HDR Cameras . 25 3.2.1 Camera Response to Light . 25 3.2.2 Mathematical Framework for Response Estimation . 26 3.2.3 Procedure for Photometric Calibration . 29 3.2.4 Example Calibration of HDR Video Cameras . 30 3.2.5 Quality of Luminance Measurement . 33 3.2.6 Alternative Response Estimation Methods . 33 3.2.7 Discussion ........................... 34 4 HDR Image Quality 39 4.1 VisualMetricClassification. 39 4.2 A Visual Difference Predictor for HDR Images . 41 4.2.1 Implementation......................... 43 5 HDR Image, Video and Texture Compression 45 1 2 CONTENTS 5.1 HDR Pixel Formats and Color Spaces . 46 5.1.1 Minifloat: 16-bit Floating Point Numbers . 47 5.1.2 RGBE: Common Exponent . 47 5.1.3 LogLuv: Logarithmic encoding . 48 5.1.4 RGB Scale: low-complexity RGBE coding . 49 5.1.5 LogYuv: low-complexity LogLuv . 50 5.1.6 JND steps: Perceptually uniform encoding .