WP5: Task 51 (Decide on Test Data for Scenario 1
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Free Lossless Image Format
FREE LOSSLESS IMAGE FORMAT Jon Sneyers and Pieter Wuille [email protected] [email protected] Cloudinary Blockstream ICIP 2016, September 26th DON’T WE HAVE ENOUGH IMAGE FORMATS ALREADY? • JPEG, PNG, GIF, WebP, JPEG 2000, JPEG XR, JPEG-LS, JBIG(2), APNG, MNG, BPG, TIFF, BMP, TGA, PCX, PBM/PGM/PPM, PAM, … • Obligatory XKCD comic: YES, BUT… • There are many kinds of images: photographs, medical images, diagrams, plots, maps, line art, paintings, comics, logos, game graphics, textures, rendered scenes, scanned documents, screenshots, … EVERYTHING SUCKS AT SOMETHING • None of the existing formats works well on all kinds of images. • JPEG / JP2 / JXR is great for photographs, but… • PNG / GIF is great for line art, but… • WebP: basically two totally different formats • Lossy WebP: somewhat better than (moz)JPEG • Lossless WebP: somewhat better than PNG • They are both .webp, but you still have to pick the format GOAL: ONE FORMAT THAT COMPRESSES ALL IMAGES WELL EXPERIMENTAL RESULTS Corpus Lossless formats JPEG* (bit depth) FLIF FLIF* WebP BPG PNG PNG* JP2* JXR JLS 100% 90% interlaced PNGs, we used OptiPNG [21]. For BPG we used [4] 8 1.002 1.000 1.234 1.318 1.480 2.108 1.253 1.676 1.242 1.054 0.302 the options -m 9 -e jctvc; for WebP we used -m 6 -q [4] 16 1.017 1.000 / / 1.414 1.502 1.012 2.011 1.111 / / 100. For the other formats we used default lossless options. [5] 8 1.032 1.000 1.099 1.163 1.429 1.664 1.097 1.248 1.500 1.017 0.302� [6] 8 1.003 1.000 1.040 1.081 1.282 1.441 1.074 1.168 1.225 0.980 0.263 Figure 4 shows the results; see [22] for more details. -
TS 101 499 V2.2.1 (2008-07) Technical Specification
ETSI TS 101 499 V2.2.1 (2008-07) Technical Specification Digital Audio Broadcasting (DAB); MOT SlideShow; User Application Specification European Broadcasting Union Union Européenne de Radio-Télévision EBU·UER 2 ETSI TS 101 499 V2.2.1 (2008-07) Reference RTS/JTC-DAB-57 Keywords audio, broadcasting, DAB, digital, PAD ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Important notice Individual copies of the present document can be downloaded from: http://www.etsi.org The present document may be made available in more than one electronic version or in print. In any case of existing or perceived difference in contents between such versions, the reference version is the Portable Document Format (PDF). In case of dispute, the reference shall be the printing on ETSI printers of the PDF version kept on a specific network drive within ETSI Secretariat. Users of the present document should be aware that the document may be subject to revision or change of status. Information on the current status of this and other ETSI documents is available at http://portal.etsi.org/tb/status/status.asp If you find errors in the present document, please send your comment to one of the following services: http://portal.etsi.org/chaircor/ETSI_support.asp Copyright Notification No part may be reproduced except as authorized by written permission. -
Widetek® Wide Format MFP Solutions 17
® The WideTEK 36CL-MF scanner forms the basis of all of the MF solutions and is the fastest, most productive wide format MFP so- lution on the market, running at 10 inches per second at 200 dpi in full color, at the lowest possible price. At the full width of 36“ and 600 dpi resolution, the scanner still runs at 1.7 inches per second. ® WideTEK 36CL-MF is the best choice to build a powerful and high quality MFP with either an integrated printer series specifi c stand, a high stand or a standalone stand. All MFP solutions come with a built in closed loop color calibration function producing the best possible copies on your selected printer and paper combination. Scanner Optics CIS camera, scans in color, grayscale, B&W Resolution 1200 x 1200 dpi scanner resolution 9600 x 9600 dpi interpolated (optional) Document Size 965 mm (38 inch) width, nearly unlimited length Scans 915 mm (36 inch) widths Scanning Speed 200 dpi - 15 m/min (10 inch/s) in color Face up scanning with on the fl y rotation and modifi cation 600 dpi - 8 m/min (5 inch/s) in grayscale of images without rescanning. Automated crop & deskew. Color Depth 48 bit color, 16 bit grayscale Built in closed loop color calibration function for best possible copies Scan output 24 bit color, 8 bit grayscale, bitonal, enhanced half- tone LED lamps, no warm up, IR/UV free Output Formats Multipage PDF (PDF/A) and TIFF, JPEG, JPEG 2000, Large 21“ full HD color touchscreen for simple operation in PNM, PNG, BMP, TIFF (Raw, G3, G4, LZW, JPEG), optional bundles AutoCAD DWF, JBIG, DjVu, DICOM, PCX, Postscript, EPS, Raw data Scan2USB, FTP, SMB and Network. -
Optimization of Image Compression for Scanned Document's Storage
ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) IJCST VOL . 4, Iss UE 1, JAN - MAR C H 2013 Optimization of Image Compression for Scanned Document’s Storage and Transfer Madhu Ronda S Soft Engineer, K L University, Green fields, Vaddeswaram, Guntur, AP, India Abstract coding, and lossy compression for bitonal (monochrome) images. Today highly efficient file storage rests on quality controlled This allows for high-quality, readable images to be stored in a scanner image data technology. Equivalently necessary and faster minimum of space, so that they can be made available on the web. file transfers depend on greater lossy but higher compression DjVu pages are highly compressed bitmaps (raster images)[20]. technology. A turn around in time is necessitated by reconsidering DjVu has been promoted as an alternative to PDF, promising parameters of data storage and transfer regarding both quality smaller files than PDF for most scanned documents. The DjVu and quantity of corresponding image data used. This situation is developers report that color magazine pages compress to 40–70 actuated by improvised and patented advanced image compression kB, black and white technical papers compress to 15–40 kB, and algorithms that have potential to regulate commercial market. ancient manuscripts compress to around 100 kB; a satisfactory At the same time free and rapid distribution of widely available JPEG image typically requires 500 kB. Like PDF, DjVu can image data on internet made much of operating software reach contain an OCR text layer, making it easy to perform copy and open source platform. In summary, application compression of paste and text search operations. -
R-Photo User's Manual
User's Manual © R-Tools Technology Inc 2020. All rights reserved. www.r-tt.com © R-tools Technology Inc 2020. All rights reserved. No part of this User's Manual may be copied, altered, or transferred to, any other media without written, explicit consent from R-tools Technology Inc.. All brand or product names appearing herein are trademarks or registered trademarks of their respective holders. R-tools Technology Inc. has developed this User's Manual to the best of its knowledge, but does not guarantee that the program will fulfill all the desires of the user. No warranty is made in regard to specifications or features. R-tools Technology Inc. retains the right to make alterations to the content of this Manual without the obligation to inform third parties. Contents I Table of Contents I Start 1 II Quick Start Guide in 3 Steps 1 1 Step 1. Di.s..k.. .S..e..l.e..c..t.i.o..n.. .............................................................................................................. 1 2 Step 2. Fi.l.e..s.. .M..a..r..k.i.n..g.. ................................................................................................................ 4 3 Step 3. Re..c..o..v..e..r.y.. ...................................................................................................................... 6 III Features 9 1 File Sorti.n..g.. .............................................................................................................................. 9 2 File Sea.r.c..h.. ............................................................................................................................ -
Designing and Developing a Model for Converting Image Formats Using Java API for Comparative Study of Different Image Formats
International Journal of Scientific and Research Publications, Volume 4, Issue 7, July 2014 1 ISSN 2250-3153 Designing and developing a model for converting image formats using Java API for comparative study of different image formats Apurv Kantilal Pandya*, Dr. CK Kumbharana** * Research Scholar, Department of Computer Science, Saurashtra University, Rajkot. Gujarat, INDIA. Email: [email protected] ** Head, Department of Computer Science, Saurashtra University, Rajkot. Gujarat, INDIA. Email: [email protected] Abstract- Image is one of the most important techniques to Different requirement of compression in different area of image represent data very efficiently and effectively utilized since has produced various compression algorithms or image file ancient times. But to represent data in image format has number formats with time. These formats includes [2] ANI, ANIM, of problems. One of the major issues among all these problems is APNG, ART, BMP, BSAVE, CAL, CIN, CPC, CPT, DPX, size of image. The size of image varies from equipment to ECW, EXR, FITS, FLIC, FPX, GIF, HDRi, HEVC, ICER, equipment i.e. change in the camera and lens puts tremendous ICNS, ICO, ICS, ILBM, JBIG, JBIG2, JNG, JPEG, JPEG 2000, effect on the size of image. High speed growth in network and JPEG-LS, JPEG XR, MNG, MIFF, PAM, PCX, PGF, PICtor, communication technology has boosted the usage of image PNG, PSD, PSP, QTVR, RAS, BE, JPEG-HDR, Logluv TIFF, drastically and transfer of high quality image from one point to SGI, TGA, TIFF, WBMP, WebP, XBM, XCF, XPM, XWD. another point is the requirement of the time, hence image Above mentioned formats can be used to store different kind of compression has remained the consistent need of the domain. -
Entropy Coding 83
1 X-Media Audio, Image and Video Coding Laurent Duval (IFP Energies nouvelles) Eric Debes (Thalès) Philippe Morosini (Supélec) Supports Moodle/NTNoe http://www.laurent-duval.eu/lcd-lecture-supelec-xmedia.html 2 General information Contents 3 • Introduction to X-Media coding generic principles • Audio data recording/sampling, physiology • Data, audio coding LZ*, Mpeg-Layer 3 • Image coding JPEG vs. JPEG 2000 • Video coding MPEG formats, H-264 • Bonuses, exercices Initial motivation 4 Initial motivation 5 • Coding/compression as a DSP engineer discipline information reduction, standards & adaption, complexity, integrity & security issues, interaction with SP pipeline • Composite domain, yet ubiquitous sampling (Nyquist-Shannon, filter banks), statistical SP (KLT, decorrelation), transforms (Fourier, wavelets), classification (quantization, K-means), functional spaces (basis & frames), information theory (entropy), error measurements, modelling Initial motivation 6 Digital Image Processing Digital Image Characteristics Spatial Spectral Gray-level Histogram DFT DCT Pre-Processing Enhancement Restoration Point Processing Masking Filtering Degradation Models Inverse Filtering Wiener Filtering Compression Information Theory Lossless Lossy LZW (gif) Transform-based (jpeg) Segmentation Edge Detection Description Shape Descriptors Texture Morphology Initial motivation 7 • Exemplar underline importance of specific steps (related to other lectures) to make stuff work which algorithm for which task? ° process text? sound? images? video? "the toolbox quote" (Juran) • Evolving steady evolution of standards, tools, overview of future directions (and tools) • Central to SP task what is really important in my data? (stored) info. overflow + degradations (decon.) 8 Principles Principles 9 • What is data (image) Compression? Data compression is the art and science of representing information in a compact form. Data is a sequence of symbols taken from a discrete alphabet. -
Document Image Segmentation and Compression
DOCUMENT IMAGE SEGMENTATION AND COMPRESSION AThesis Submitted to the Faculty of Purdue University by Hui Cheng In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 1999 -ii- To my beloved wife Liu, Qian. To my wonderful parents Cheng, Zuoqin and Li, Heying. - iii - ACKNOWLEDGMENTS I would like to extend my most sincere thanks to my advisor, Professor Charles A. Bouman for his guidance, encouragement and all the things that he had done in helping me develop my professional and personal skills. I am certain that I will benefit from his rigorous scientific approach, and the way of critical thinking throughout my future career. Most of all, my deepest thanks go to my wife Qian, my parents and my family. I can not thank them enough for their love, support, sacrifice and their belief in me. I want to thank my advisory committee members: Professor Jan P. Allebach, Professor Edward J. Delp, and Professor Bradley J. Lucier for their constructive suggestions and comments. Also, my thanks go to Dr. Zhigang Fan, Dr. Ricardo L. de Queiroz, Dr. Chi-hsin Wu and Dr. Steve J. Harrington of Xerox Corporation for their valuable advice and suggestions. I thank Dr. Faouzi Kossentini and Mr. Dave Tompkins of Department of Electrical and Computer Engineering, University of British Columbia for providing us the JBIG2 coder. In addition, I am grateful to all my friends who gave me help, support, and encouragement. Thank you all! I would also like to thank Xerox Corporation, Xerox Foundation, and Xerox IM- PACT Imaging for their generous financial support. -
View the Slides
Retrofitting Fine Grain Isolation in the Firefox Renderer Shravan Narayan, Craig Disselkoen, Tal Garfinkel, Nathan Froyd, Eric Rahm, Sorin Lerner, Hovav Shacham, Deian Stefan 1 We use browsers for everything Email, IM, conferences, meetings etc. 2 Third-party libraries make this possible Browsers cannot implement every feature from scratch Browsers use third-party libraries • Used to render audio, video, images etc. Large number of supported formats and libraries • Images – JPEG, PNG, GIF, SVG, BMP, APNG, ICO, TIFF, WebP • Video – H.264, VP8, VP9, Theora • Audio – MP3, WAV, AAC, Vorbis, FLAC, Opus 3 Bugs in libraries can compromise browsers (2018 Pwn2Own) 4 How do browsers deal with bugs in libraries? Traditionally: Coarse-grain renderer isolation • Goal: protect system from browser compromise • Isolates the renderer (code handling untrusted HTML, images, JavaScript) More recently: Site isolation • Goal: protect one site from another • Isolates different sites from each other • E.g., *.google.com is isolated from *.zoom.us 5 Why Site Isolation is not enough Real sites rely on cross origin resources • 93% of sites load cross-origin media • Lots of cross origin jpegs • Bug in libjpeg ⇒ renderer compromise Attacker may be able to host untrusted content on same origin • Malicious media on Google Drive ⇒ compromised renderer • Allows access victim’s Drive files 6 We need fine grain isolation evil.com libjpeg libvpx libogg Firefox Isolate/sandbox media libraries like libjpeg • Bugs in libjpeg should not compromise the rest of Firefox 7 We know how to do this! 1. Pick an isolation/sandboxing mechanism • Process isolation Browser Sandbox Sandbox Sandbox • In-process: Native Client, WebAssembly memory memory memory memory libjpeg libvpx libogg 2. -
IDOL Keyview Viewing SDK 12.7 Programming Guide
KeyView Software Version 12.7 Viewing SDK Programming Guide Document Release Date: October 2020 Software Release Date: October 2020 Viewing SDK Programming Guide Legal notices Copyright notice © Copyright 2016-2020 Micro Focus or one of its affiliates. The only warranties for products and services of Micro Focus and its affiliates and licensors (“Micro Focus”) are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Micro Focus shall not be liable for technical or editorial errors or omissions contained herein. The information contained herein is subject to change without notice. Documentation updates The title page of this document contains the following identifying information: l Software Version number, which indicates the software version. l Document Release Date, which changes each time the document is updated. l Software Release Date, which indicates the release date of this version of the software. To check for updated documentation, visit https://www.microfocus.com/support-and-services/documentation/. Support Visit the MySupport portal to access contact information and details about the products, services, and support that Micro Focus offers. This portal also provides customer self-solve capabilities. It gives you a fast and efficient way to access interactive technical support tools needed to manage your business. As a valued support customer, you can benefit by using the MySupport portal to: l Search for knowledge documents of interest l Access product documentation l View software vulnerability alerts l Enter into discussions with other software customers l Download software patches l Manage software licenses, downloads, and support contracts l Submit and track service requests l Contact customer support l View information about all services that Support offers Many areas of the portal require you to sign in. -
Image Access Widetek WT12-650 Specifications
Technical Specifications WideTEK WT12-650 Optical System Scanner resolution 1200 x 1200 dpi Optical resolution 1200 x 600 dpi Pixel dimensions 9.3 x 9.3 µm Sensor type 2Tri-Color CCD, encapsulated and dust-proof 16 bit grayscale (internal resolution) Color depth 48 bit color (internal resolution) Sensor resolution 22,5000 active pixels Scan modes 24 bit color, 8 bit color indexed, 8 bit grayscale, bitonal, enhanced halftone Scan accuracy Better than ± 0.1% over max. scan area File Formats Multipage PDF (PDF/A) and TIFF, JPEG, JPEG 2000, PNM, PNG, BMP, TIFF (Raw, G3, G4, LZW, JPEG), AutoCAD DWF, JBIG, DjVu, DICOM, PCX, Postscript, EPS, Raw data Version: 1.0 Date created: July 2017 Revised: Technical Specifications Scanning Speed Scan time, 24bit color, full bed, 300dpi Less than 3 seconds Scan time, 24bit color, full bed, 600dpi Less than 6 seconds Cycle time 300dpi, all options on Less than 6 seconds Cycle time 600dpi, all options on Less than 13 seconds Illumination System Two lamps with white LEDs, Light source integrated optical diffusor Warm-up time of the lamps None. Maximum brightness after switching on. Temperature dependency None UV / IR radiation None Lifetime of the LEDs 50,000 hours (typ.) Electrical Specifications External power supply Input Voltage 100 – 240 Vac Frequency 47 – 63 Hz Output Voltage 24 Vdc Output current 6,25 A ECO standard CEC level VI Power Consumption Input voltage 24 VDC Input current (non fused) max. 5 A Power Consumption Sleep < 0,5 W Standby 2,5 W Ready to scan 28 W Scanning 55 W Version: 1.0 Date created: July 2017 Revised: Technical Specifications Documents Specification Document size 317 x 470 mm / 12,5 x 18.5 inch Document weight Up to 10 kg / 22 lbs. -
Full Feature List
FULL FEATURE LIST ABBYY® FineReader® PDF 15 Standard ABBYY® FineReader® PDF 15 Corporate ABBYY® FineReader® PDF for Mac® Standard Corporate for Mac User experience and productivity Productivity software to manage PDF, scanned, and paper documents in the digital workplace: edit, protect, + + share, collaborate, convert, compare, digitize, retrieve Productivity software for document conversion into editable formats and searchable PDFs for all types of + + + PDFs, paper documents, and their images Easy-to-use interface + + + Quick task shortcuts for most popular scenarios in the + + + start window Direct scanning of paper documents for editing or + + + conversion with built-in scanning interface User interface languages 23 interface 23 interface 6 interface languages 1 languages 1 languages 1 High-speed conversion of multi-page documents with + + + effective multi-core processing support Compliance with accessibility standards (Section 508) + + VPAT form VPAT form High-resolution monitor support + + + Integration with FineReader PDF Mobile App + + Dark Mode support + Continuity Camera support + Platform (operation system) Windows Windows macOS Edit, protect, and collaborate on PDFs Edit and organize PDFs Viewing Open and view PDFs: pages, attachments, metadata, + + + comments, etc. Pages and metadata only Zoom and rotate pages for viewing + + + Full document preview for PDFs in Windows® Explorer + + and Microsoft® Outlook® Standard Corporate for Mac Set FineReader PDF as default PDF viewer + + + Various PDF viewing modes: full screen, one