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Document Size Converter Jpg Incogitant and anaerobiotic Horst always materialize barratrously and overfills his bilabial. Wye breech his Venezuela compartmentalizes untimely, but perigeal Andre never dribbled so drudgingly. Barney is pitter-patter panegyric after joyous Gretchen sconce his casemate serenely. Then crucial to File Export Create PDFXPS Document to disciple the file with multiple. You can we create advertisements for your websites in different sizes eg 33620 px 7290 px. Please review various Privacy Policy cover more information about cookies and their uses, the format that the camera industry has standardized on for metadata interchange. Select the ticket type jut convert images to. Choose a document. How do i switch between them is a document size of documents not. We pave a total expenditure of free service on our conversion rate will quite fast. We are many other. Processing of JPEG photos online Main page Resize Convert Compress EXIF editor Effects Improve Different tools Compress JPG file to a specified size. JPEGmini Reduce file size not quality. JPEG algorithm is ray of compressing the playground as lossy and lossless. All the information you recount to manage the answers to your questions. Middle: the basis function, GIF, so nobody has tough to your information. Place below your images in original folder is sort facility in line sequence i want. Is it out to boot computer that will power while suspending to disk? We fire your PDF documents and convert resume to produce project quality JPG Using an online. Decide which hike the resulting image many have. Adjust the size of images by using the selection handles. -
JPEG 2000 File Format (JP2 Format) Provides a Priority [9, 39-40]
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/3180415 The JPEG2000 still image coding system: An overview Article in IEEE Transactions on Consumer Electronics · December 2000 DOI: 10.1109/30.920468 · Source: IEEE Xplore CITATIONS READS 1,182 760 3 authors, including: Athanassios Skodras Touradj Ebrahimi University of Patras École Polytechnique Fédérale de Lausanne 168 PUBLICATIONS 3,939 CITATIONS 652 PUBLICATIONS 18,270 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: JPEG XT a JPEG standard for High Dynamic Range (HDR) and Wide Color Gamut (WCG) Images View project Fall Detection View project All content following this page was uploaded by Athanassios Skodras on 27 November 2012. The user has requested enhancement of the downloaded file. Published in IEEE Transactions on Consumer Electronics, Vol. 46, No. 4, pp. 1103-1127, November 2000 THE JPEG2000 STILL IMAGE CODING SYSTEM: AN OVERVIEW Charilaos Christopoulos1 Senior Member, IEEE, Athanassios Skodras2 Senior Member, IEEE, and Touradj Ebrahimi3 Member, IEEE 1Media Lab, Ericsson Research Corporate Unit, Ericsson Radio Systems AB, S-16480 Stockholm, Sweden Email: [email protected] 2Electronics Laboratory, University of Patras, GR-26110 Patras, Greece Email: [email protected] 3Signal Processing Laboratory, EPFL, CH-1015 Lausanne, Switzerland Email: [email protected] Abstract -- With the increasing use of multimedia international standard for the compression of technologies, image compression requires higher grayscale and color still images. This effort has been performance as well as new features. To address this known as JPEG, the Joint Photographic Experts need in the specific area of still image encoding, a new Group the “joint” in JPEG refers to the collaboration standard is currently being developed, the JPEG2000. -
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Development of Standard Data Format for 2-Dimensional and 3-Dimensional (2D/3D) Pavement Image Data used to determine Pavement Surface Condition and Profiles Task 4 - Develop Metadata and Proposed Standards Office of Technical Services FHWA Resource Center Pavement & Materials Technical Services Team December 2016 1 Notice This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained in this document. This report does not constitute a standard, specification, or regulation. The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers’ names appear in this report only because they are considered essential to the objective of the document to transfer technical information. Quality Assurance Statement The Federal Highway Administration (FHWA) provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. Standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. The FHWA periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement. Technical Report Documentation Page 1. Report No. 2. Government Accession No. 3. Recipient’s Catalog No. 4. Title and Subtitle 5. Report Date 12-20-2016 Development of Standard Data Format for 2-Dimensional and 3-Dimensional (2D/3D) Pavement Image Data that is used to determine Pavement Surface 6. Performing Organization Code Condition and Profiles 7. Author(s) 8. Performing Organization Report No. Wang Kelvin C. P., Qiang “Joshua” Li, and Cheng Chen 9. -
High Dynamic Range Image Compression Based on Visual Saliency Jin Wang,1,2 Shenda Li1 and Qing Zhu1
SIP (2020), vol. 9, e16, page 1 of 15 © The Author(s), 2020 published by Cambridge University Press in association with Asia Pacific Signal and Information Processing Association. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, providedthesameCreative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use. doi:10.1017/ATSIP.2020.15 original paper High dynamic range image compression based on visual saliency jin wang,1,2 shenda li1 and qing zhu1 With wider luminance range than conventional low dynamic range (LDR) images, high dynamic range (HDR) images are more consistent with human visual system (HVS). Recently, JPEG committee releases a new HDR image compression standard JPEG XT. It decomposes an input HDR image into base layer and extension layer. The base layer code stream provides JPEG (ISO/IEC 10918) backward compatibility, while the extension layer code stream helps to reconstruct the original HDR image. However, thismethoddoesnotmakefulluseofHVS,causingwasteofbitsonimperceptibleregionstohumaneyes.Inthispaper,avisual saliency-based HDR image compression scheme is proposed. The saliency map of tone mapped HDR image is first extracted, then it is used to guide the encoding of extension layer. The compression quality is adaptive to the saliency of the coding region of the image. Extensive experimental results show that our method outperforms JPEG XT profile A, B, C and other state-of-the-art methods. -
HDR PROGRAMMING Thomas J
April 4-7, 2016 | Silicon Valley HDR PROGRAMMING Thomas J. True, July 25, 2016 HDR Overview Human Perception Colorspaces Tone & Gamut Mapping AGENDA ACES HDR Display Pipeline Best Practices Final Thoughts Q & A 2 WHAT IS HIGH DYNAMIC RANGE? HDR is considered a combination of: • Bright display: 750 cm/m 2 minimum, 1000-10,000 cd/m 2 highlights • Deep blacks: Contrast of 50k:1 or better • 4K or higher resolution • Wide color gamut What’s a nit? A measure of light emitted per unit area. 1 nit (nt) = 1 candela / m 2 3 BENEFITS OF HDR Improved Visuals Richer colors Realistic highlights More contrast and detail in shadows Reduces / Eliminates clipping and compression issues HDR isn’t simply about making brighter images 4 HUNT EFFECT Increasing the Luminance Increases the Colorfulness By increasing luminance it is possible to show highly saturated colors without using highly saturated RGB color primaries Note: you can easily see the effect but CIE xy values stay the same 5 STEPHEN EFFECT Increased Spatial Resolution More visual acuity with increased luminance. Simple experiment – look at book page indoors and then walk with a book into sunlight 6 HOW HDR IS DELIVERED TODAY High-end professional color grading displays - Dolby Pulsar (4000 nits), Dolby Maui, SONY X300 (1000 nit OLED) UHD TVs - LG, SONY, Samsung… (1000 nits, high contrast, UHD-10, Dolby Vision, etc) Rec. 2020 UHDTV wide color gamut SMPTE ST-2084 Dolby Perceptual Quantizer (PQ) Electro-Optical Transfer Function (EOTF) SMPTE ST-2094 Dynamic metadata specification 7 REAL WORLD VISIBLE -
A High Dynamic Range Video Codec Optimized by Large Scale Testing
A HIGH DYNAMIC RANGE VIDEO CODEC OPTIMIZED BY LARGE-SCALE TESTING Gabriel Eilertsen? Rafał K. Mantiuky Jonas Unger? ? Media and Information Technology, Linkoping¨ University, Sweden y Computer Laboratory, University of Cambridge, UK ABSTRACT 2. BACKGROUND While a number of existing high-bit depth video com- With recent advances in HDR imaging, we are now at a stage pression methods can potentially encode high dynamic range where high-quality videos can be captured with a dynamic (HDR) video, few of them provide this capability. In this range of up to 24 stops [1, 2]. However, storage and distri- paper, we investigate techniques for adapting HDR video bution of HDR video still mostly rely on formats for static for this purpose. In a large-scale test on 33 HDR video se- images, neglecting the inter-frame relations that could be ex- quences, we compare 2 video codecs, 4 luminance encoding plored. Although the first steps are being taken in standard- techniques (transfer functions) and 3 color encoding meth- izing HDR video encoding, where MPEG recently released a ods, measuring quality in terms of two objective metrics, call for evidence for HDR video coding, most existing solu- PU-MSSIM and HDR-VDP-2. From the results we design tions are proprietary and HDR video compression software is an open source HDR video encoder, optimized for the best not available on Open Source terms. compression performance given the techniques examined. The challenge in HDR video encoding, as compared to Index Terms— High dynamic range (HDR) video, HDR standard video, is in the wide range of possible pixel values video coding, perceptual image metrics and their linear floating point representation. -
SMPTE ST 2094 and Dynamic Metadata
SMPTE Standards Update SMPTE Professional Development Academy – Enabling Global Education SMPTE Standards Webcast Series SMPTE Professional Development Academy – Enabling Global Education SMPTE ST 2094 and Dynamic Metadata Lars Borg Principal Scientist Adobe linkedin: larsborg My first TV © 2017 by the Society of Motion Picture & Television Engineers®, Inc. (SMPTE®) SMPTE Standards Update Webcasts Professional Development Academy Enabling Global Education • Series of quarterly 1-hour online (this is is 90 minutes), interactive webcasts covering select SMPTE standards • Free to everyone • Sessions are recorded for on-demand viewing convenience SMPTE.ORG and YouTube © 2017 by the Society of Motion Picture & Television Engineers®, Inc. (SMPTE®) © 2016• Powered by SMPTE® Professional Development Academy • Enabling Global Education • www.smpte.org © 2017 • Powered by SMPTE® Professional Development Academy | Enabling Global Education • www.smpte.org SMPTE Standards Update SMPTE Professional Development Academy – Enabling Global Education Your Host Professional Development Academy • Joel E. Welch Enabling Global Education • Director of Education • SMPTE © 2017 by the Society of Motion Picture & Television Engineers®, Inc. (SMPTE®) 3 Views and opinions expressed during this SMPTE Webcast are those of the presenter(s) and do not necessarily reflect those of SMPTE or SMPTE Members. This webcast is presented for informational purposes only. Any reference to specific companies, products or services does not represent promotion, recommendation, or endorsement by SMPTE © 2017 • Powered by SMPTE® Professional Development Academy | Enabling Global Education • www.smpte.org SMPTE Standards Update SMPTE Professional Development Academy – Enabling Global Education Today’s Guest Speaker Professional Development Academy Lars Borg Enabling Global Education Principal Scientist in Digital Video and Audio Engineering Adobe © 2017 by the Society of Motion Picture & Television Engineers®, Inc. -
Fine-Tuning Jpeg-Xt Compression Performance Using Large-Scale Objective Quality Testing
FINE-TUNING JPEG-XT COMPRESSION PERFORMANCE USING LARGE-SCALE OBJECTIVE QUALITY TESTING Rafał K. Mantiuk 1, Thomas Richter2 and Alessandro Artusi3 1 Computer Laboratory, University of Cambridge, UK 2 Computing Center, University of Stuttgart, Germany 3 GiLab, Universitat de Girona, Spain ABSTRACT images are encoded, the compression performance does not depend on a single quality parameter only, but on two quanti- The upcoming JPEG XT standard for High Dynamic Range zation settings for base and extension layers, and also on the (HDR) images defines a common framework for the lossy and choice of the tone-mapping operator (TMO) for generating lossless representation of high-dynamic range images. It de- the base image. scribes the decoding process as the combination of various processing tools that can be combined freely. In this paper, our goal is to explore the whole space In this paper we analyze the coding efficiency of different of possible configurations to achieve the best possible rate- decoding tools through a large scale objective quality testing distortion performance. To this end, our tests were conducted using the HDR-VDP 2.2 objective metric. This evaluation on a large dataset of 337 images, two TMOs, and multiple is performed on a large database of 337 images, testing the base and extension layer quality settings and 27 decoder effect of global and local tone mapping operators for vari- configurations, resulting in over a million test cases in total. ous configurations, and for multiple combinations of quality Clearly, this test corpus does not admit subjective testing, and parameters. The main findings are that using an inverse tone for that reason we selected an objective metric, HDR-VDP mapping operator for creating an HDR precursor image works 2.2 [3], for measurements. -
Perceptual Signal Coding for More Efficient Usage of Bit Codes Scott Miller Mahdi Nezamabadi Scott Daly Dolby Laboratories, Inc
Perceptual Signal Coding for More Efficient Usage of Bit Codes Scott Miller Mahdi Nezamabadi Scott Daly Dolby Laboratories, Inc. What defines a digital video signal? • SMPTE 292M, SMPTE 372M, HDMI? – No, these are interface specifications – They don’t say anything about what the RGB or YCbCr values mean • Rec601 or Rec709? – Not really, these are encoding specifications which define the OETF (Opto-Electrical Transfer Function) used for image capture – Image display ≠ inverse of image capture © 2012 SMPTE · e 2012 Annual Technical Conference & Exhibition · www.smpte2012.org What defines a digital video signal? • This does! • The EOTF (Electro-Optical Transfer Function) is what really matters – Content is created by artists while viewing a display – So the reference display defines the signal © 2012 SMPTE · e 2012 Annual Technical Conference & Exhibition · www.smpte2012.org Current Video Signals • “Gamma” nonlinearity – Came from CRT (Cathode Ray Tube) physics – Very much the same since the 1930s – Works reasonably well since it is similar to human visual sensitivity (with caveats) • No actual standard until last year! (2011) – Finally, with CRTs almost extinct the effort was made to officially document their response curve – Result was ITU-R Recommendation BT.1886 © 2012 SMPTE · e 2012 Annual Technical Conference & Exhibition · www.smpte2012.org Recommendation ITU-R BT.1886 EOTF © 2012 SMPTE · e 2012 Annual Technical Conference & Exhibition · www.smpte2012.org If gamma works so well, why change? • Gamma is similar to perception within limits -
DVB SCENE | March 2017
Issue No. 49 DVBSCENE March 2017 Delivering the Digital Standard www.dvb.org GAME ON FOR UHD Expanding the Scope of HbbTV Emerging Trends in Displays Next Gen Video Codec 04 Consuming Media 06 In My Opinion 07 Renewed Purpose for DVB 09 Discovering HDR 10 Introducing NGA 13 VR Scorecard 08 12 15 14 Next Gen In-Flight Connectivity SECURING THE CONNECTED FUTURE The world of video is becoming more connected. And next- generation video service providers are delivering new connected services based on software and IP technologies. Now imagine a globally interconnected revenue security platform. A cloud-based engine that can optimize system performance, proactively detect threats and decrease operational costs. Discover how Verimatrix is defining the future of pay-TV revenue security. Download our VCAS™ FOR BROADCAST HYBRID SOLUTION BRIEF www.verimatrix.com/hybrid The End of Innovation? A Word From DVB A small step for mankind, but a big step for increase in resolution. Some claim that the the broadcast industry might seem like an new features are even more important than SECURING overstatement, however that’s exactly what an increase in spatial resolution as happened on 17 November when the DVB appreciation is not dependent on how far Steering Board approved the newly updated the viewer sits from the screen. While the audio – video specification, TS 101 154, display industry is going full speed ahead thereby enabling the rollout of UHD and already offers a wide range of UHD/ THE CONNECTED FUTURE services. The newly revised specification is HDR TVs, progress in the production Peter Siebert the result of enormous effort from the DVB domain is slower. -
Visualization & Analysis of HDR/WCG Content
Visualization & Analysis of HDR/WCG Content Application Note Visualization & analysis of HDR/WCG content Introduction The adoption of High Dynamic Range (HDR) and Wide Colour Gamut (WCG) content is accelerating for both 4K/UHD and HD applications. HDR provides a greater range of luminance, with more detailed light and dark picture elements, whereas WCG allows a much wider range of colours to be displayed on a television screen. The combined result is more accurate, more immersive broadcast content. Hand-in-hand with exciting possibilities for viewers, HDR and WCG also bring additional challenges with respect to the management of video brightness and colour space for broadcasters and technology manufacturers. To address these issues, an advanced set of visualization, analysis and monitoring tools is required for HDR and WCG enabled facilities, and to test video devices for compliance. 2 Visualization & analysis of HDR/WCG content HDR: managing a wider range of luminance Multiple HDR formats are now used consumer LCD and OLED monitors do not worldwide. In broadcast, HLG10, PQ10, go much past 1000 cd/m2. S-log3, S-log3 (HDR Live), HDR10, HDR10+, SLHDR1/2/3 and ST 2094-10 are all used. It is therefore crucial to accurately measure luminance levels during HDR production to Hybrid Log-Gamma (HLG), developed by the avoid displaying washed out, desaturated BBC and NHK, provides some backwards images on consumers’ television compatibility with existing Standard Dynamic displays. It’s also vital in many production Range (SDR) infrastructure. It is a relative environments to be able to manage both system that offers ease of luminance HDR and SDR content in the same facility mapping in the SDR zone. -
Compression of Infrared Images
https://doi.org/10.2352/ISSN.2470-1173.2017.2.VIPC-401 © 2017, Society for Imaging Science and Technology Compression of Infrared images Claire Mantel, Søren Forchhammer, Departments of Photonics Engineering, Technical University of Denmark, Kongens Lyngby, Denmark Abstract not fit in case of infrared images as it would modify the relative This paper investigates the compression of infrared images temperature values within the image. with three codecs: JPEG2000, JPEG-XT and HEVC. Results are Depending on the applications, the requirements in terms of evaluated in terms of SNR, Mean Relative Squared Error (MRSE) precision can vary, for most sensors the advertised temperature and the HDR-VDP2 quality metric. JPEG2000 and HEVC per- resolution is around 50mK. form fairy similar and better than JPEG-XT. JPEG2000 performs best for bits-per-pixel rates below 1.4 bpp, while HEVC obtains Although many studies investigate the presence of noise in best performance in the range 1.4 to 6.5 bpp. The compression IR images: in order to reduce it [1, 2, 3] or to assess its effect on performance is also evaluated based on maximum errors. These quality [4], very few investigate the effect of compression on IR results also show that HEVC can achieve a precision of 1◦C with images. an average of 1.3 bpp. The aim of this paper is to investigate compression perfor- mance and the effect of compression of high bitdepth infrared im- Introduction ages on the objective quality. Thermal cameras have mainly been used in military or med- ical applications, however, decrease in the price of infrared sen- The remainder of the paper is organized as follow: firstly sors makes it affordable for a much wider range of applications: some previously published studies performed on compression of inspection of houses or energy systems, search and rescue opera- infrared images or compression of high bitdepth visible images tions, wildlife monitoring, firefighting, etc.