Performance Evaluation of JPEG XT Standard for High Dynamic Range Image Coding
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Document Size Converter Jpg
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. -
Adobe Photoshop® TIFF Technical Note 3 April 8, 2005
Adobe Photoshop® TIFF Technical Note 3 April 8, 2005 Adobe Photoshop® TIFF Technical Note 3 April 8, 2005 This document describes additions to the TIFF specification to improve support for floating point values. Readers are advised to cross reference terms and discussions found in this document with the TIFF 6.0 specification (TIFF6.pdf), the TIFF Technical Note for Adobe PageMaker® 6.0 (TIFF-PM6.pdf), and the File Formats Specification for Adobe Photoshop® (Photoshop File Formats.pdf). Page 1 of 5 Adobe Photoshop® TIFF Technical Note 3 April 8, 2005 16 and 24 bit Floating Point Values Introduction This section describes the format of floating point data with BitsPerSample of 16 and 24. Field: SampleFormat Tag: 339 (153.H) Type: SHORT Count: N = SamplesPerPixel Value: 3 = IEEE Floating point data Field: BitsPerSample Tag: 258 (102.H) Type: SHORT Count: N = SamplesPerPixel Value: 16 or 24 16 and 24 bit floating point values may be used to minimize file size versus traditional 32 bit or 64 bit floating point values. The loss of range and precision may be acceptable for many imaging applications. The 16 bit floating point format is designed to match the HALF data type used by OpenEXR and video graphics card vendors. Implementation 16 bit floating point values 16 bit floating point numbers have 1 sign bit, 5 exponent bits (biased by 16), and 10 mantissa bits. The interpretation of the sign, exponent and mantissa is analogous to IEEE-754 floating-point numbers. The 16 bit floating point format supports normalized and denormalized numbers, infinities and NANs (Not A Number). -
Proexr Manual
ProEXR Advanced OpenEXR plug-ins 1 ProEXR by Brendan Bolles Version 2.5 November 4, 2019 fnord software 159 Jasper Place San Francisco, CA 94133 www.fnordware.com For support, comments, feature requests, and insults, send email to [email protected] or participate in the After Effects email list, available through www.media-motion.tv. Plain English License Agreement These plug-ins are free! Use them, share them with your friends, include them on free CDs that ship with magazines, whatever you want. Just don’t sell them, please. And because they’re free, there is no warranty that they work well or work at all. They may crash your computer, erase all your work, get you fired from your job, sleep with your spouse, and otherwise ruin your life. So test first and use them at your own risk. But in the fortunate event that all that bad stuff doesn’t happen, enjoy! © 2007–2019 fnord. All rights reserved. 2 About ProEXR Industrial Light and Magic’s (ILM’s) OpenEXR format has quickly gained wide adoption in the high-end world of computer graphics. It’s now the preferred output format for most 3D renderers and is starting to become the standard for digital film scanning and printing too. But while many programs have basic support for the format, hardly any provide full access to all of its capabilities. And OpenEXR is still being developed!new compression strategies and other features are being added while some big application developers are not interested in keeping up. And that’s where ProEXR comes in. -
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. -
This Is Your Reminder That Block Paragraphs Are Used
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. -
Freeimage Documentation Here
FreeImage a free, open source graphics library Documentation Library version 3.13.1 Contents Introduction 1 Foreword ............................................................................................................................... 1 Purpose of FreeImage ........................................................................................................... 1 Library reference .................................................................................................................. 2 Bitmap function reference 3 General functions .................................................................................................................. 3 FreeImage_Initialise ............................................................................................... 3 FreeImage_DeInitialise .......................................................................................... 3 FreeImage_GetVersion .......................................................................................... 4 FreeImage_GetCopyrightMessage ......................................................................... 4 FreeImage_SetOutputMessage ............................................................................... 4 Bitmap management functions ............................................................................................. 5 FreeImage_Allocate ............................................................................................... 6 FreeImage_AllocateT ............................................................................................ -
Forcepoint DLP Supported File Formats and Size Limits
Forcepoint DLP Supported File Formats and Size Limits Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 This article provides a list of the file formats that can be analyzed by Forcepoint DLP, file formats from which content and meta data can be extracted, and the file size limits for network, endpoint, and discovery functions. See: ● Supported File Formats ● File Size Limits © 2021 Forcepoint LLC Supported File Formats Supported File Formats and Size Limits | Forcepoint DLP | v8.8.1 The following tables lists the file formats supported by Forcepoint DLP. File formats are in alphabetical order by format group. ● Archive For mats, page 3 ● Backup Formats, page 7 ● Business Intelligence (BI) and Analysis Formats, page 8 ● Computer-Aided Design Formats, page 9 ● Cryptography Formats, page 12 ● Database Formats, page 14 ● Desktop publishing formats, page 16 ● eBook/Audio book formats, page 17 ● Executable formats, page 18 ● Font formats, page 20 ● Graphics formats - general, page 21 ● Graphics formats - vector graphics, page 26 ● Library formats, page 29 ● Log formats, page 30 ● Mail formats, page 31 ● Multimedia formats, page 32 ● Object formats, page 37 ● Presentation formats, page 38 ● Project management formats, page 40 ● Spreadsheet formats, page 41 ● Text and markup formats, page 43 ● Word processing formats, page 45 ● Miscellaneous formats, page 53 Supported file formats are added and updated frequently. Key to support tables Symbol Description Y The format is supported N The format is not supported P Partial metadata -
Exrtoppm: Convert Openexr Files to Portable Pixmap Files
exrtoppm: Convert OpenEXR files to Portable Pixmap files Gene Michael Stover created Sunday, 2006 September 10 updated Thursday, 2006 September 14 Copyright c 2006 Gene Michael Stover. All rights reserved. Permission to copy, store, & view this document unmodified & in its entirety is granted. Contents 1 What is this? 1 2 License 2 3 exrtoppm user manual 2 4 Installing the executable 3 5 Source code & executable 4 6 Notes 5 A Other File Formats 6 1 What is this? I needed a program to convert image files in the OpenEXR format to files in the Portable Pixmap format. So I wrote a program called exrtoppm. It resembles some of the other conversion programs which are part of the Netpbm suite of Portable (Bit, Gray, Pix)map programs. It is a command line program. I use it on Microsloth Winders; it should also work on unix-like systems, though I haven’t compiled it there, much less used it. This document includes the user documentation for the program, links to download the executalbe &/or the source code, installation instructions, & build instructions. 1 2 License One of the source code files, getopt.c, is in the public domain. I downloaded it from the TEX User’s Group web site. All other files, both source & executable, are copyrighted by Gene Michael Stover & released under the terms of the GNU General Public License [1]. Here’s a copy of the copyright notice & license agreement at the beginning of each source file: Copyright (c) 2006 Gene Michael Stover. All rights reserved. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. -
Openimageio Release 2.4.0
OpenImageIO Release 2.4.0 Larry Gritz Sep 30, 2021 CONTENTS 1 Introduction 3 2 Image I/O API Helper Classes9 3 ImageOutput: Writing Images 41 4 ImageInput: Reading Images 69 5 Writing ImageIO Plugins 93 6 Bundled ImageIO Plugins 119 7 Cached Images 145 8 Texture Access: TextureSystem 159 9 ImageBuf: Image Buffers 183 10 ImageBufAlgo: Image Processing 201 11 Python Bindings 257 12 oiiotool: the OIIO Swiss Army Knife 305 13 Getting Image information With iinfo 365 14 Converting Image Formats With iconvert 369 15 Searching Image Metadata With igrep 375 16 Comparing Images With idiff 377 17 Making Tiled MIP-Map Texture Files With maketx or oiiotool 381 18 Metadata conventions 389 19 Glossary 403 Index 405 i ii OpenImageIO, Release 2.4.0 The code that implements OpenImageIO is licensed under the BSD 3-clause (also sometimes known as “new BSD” or “modified BSD”) license (https://github.com/OpenImageIO/oiio/blob/master/LICENSE.md): Copyright (c) 2008-present by Contributors to the OpenImageIO project. All Rights Reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. -
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. -
Evaluation of Floating Point Image Compression
Evaluation of Floating Point Image Compression Thomas Richter RUS Computing Center University of Stuttgart 70550 Stuttgart, Germany Email: [email protected] Abstract— Recently, compression of High Dynamic Range under multiplication of all samples by a constant1. (HDR) photography gained attention in the standardization of the Microsoft HDPhoto compression scheme as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space can A. A Mathematical Quality Index represent images up to a dynamic range of about 3.5 magnitudes Additional desired properties are of course symmetry and in luminance, even higher ranges are more efficiently represented non-negativity; furthermore, the index should be zero if and by floating-point number formats. In this work, the author presents the approach taken by JPEG-XR for compressing such only if reference and distorted image are identical. The mean data, and shows that this method when applied to JPEG 2000 square error defined in the following satisfies all these condi- generates equally good results. Furthermore, it is shown that the tions: |x − y |2 method performs nearly optimal under a mathematical quality 1 i i , MRSE := 2 2 (1) index that is closely related to SSIM, and to the mean square N |xi| + |yi| error of the HDR images when rendered to the LDR regime. i where the fraction is, by convention, taken to be zero in case numerator and denominator are both zero. First, note that the I. INTRODUCTION MRSE is always between0 and 2, because the fraction can x 1 be written as 1 − sin 2∠ i , .