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PDF/A for Scanned Documents
Webinar www.pdfa.org PDF/A for Scanned Documents Paper Becomes Digital Mark McKinney, LuraTech, Inc., President Armin Ortmann, LuraTech, CTO Mark McKinney President, LuraTech, Inc. © 2009 PDF/A Competence Center, www.pdfa.org Existing Solutions for Scanned Documents www.pdfa.org Black & White: TIFF G4 Color: Mostly JPEG, but sometimes PNG, BMP and other raster graphics formats Often special version formats like “JPEG in TIFF” Disadvantages: Several formats already for scanned documents Even more formats for born digital documents Loss of information, e.g. with TIFF G4 Bad image quality and huge file size, e.g. with JPEG No standardized metadata spread over all formats Not full text searchable (OCR) inside of files Black/White: Color: - TIFF FAX G4 - TIFF - TIFF LZW Mark McKinney - JPEG President, LuraTech, Inc. - PDF 2 Existing Solutions for Scanned Documents www.pdfa.org Bad image quality vs. file size TIFF/BMP JPEG TIFF G4 23.8 MB 180 kB 60 kB Mark McKinney President, LuraTech, Inc. 3 Alternative Solution: PDF www.pdfa.org PDF is already widely used to: Unify file formats Image à PDF “Office” Documents à PDF Other sources à PDF Create full-text searchable files Apply modern compression technology (e.g. the JPEG2000 file formats family) Harmonize metadata Conclusion: PDF avoids the disadvantages of the legacy formats “So if you are already using PDF as archival Mark McKinney format, why not use PDF/A with its many President, LuraTech, Inc. advantages?” 4 PDF/A www.pdfa.org What is PDF/A? • ISO 19005-1, Document Management • Electronic document file format for long-term preservation Goals of PDF/A: • Maintain static visual representation of documents • Consistent handing of Metadata • Option to maintain structure and semantic meaning of content • Transparency to guarantee access • Limit the number of restrictions Mark McKinney President, LuraTech, Inc. -
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. -
Thank You for Listening to My Presentation Gif
Thank You For Listening To My Presentation Gif Derisible and alveolar Harris parades: which Marko is Noachian enough? Benny often interknit all-over when uxorilocal slangily.Jeremy disanoints frowningly and debugs her inventions. Defeated Sherwood usually scraping some outsides or undermine She needed to my presentation gifs to acknowledge the presenters try to share the voice actor: thanks in from anywhere online presentations. Lottie support integration with you for thanks for husband through the present, a person that lay behind him that feeling of. When my presentation gifs and presenting me and graphics let me or listen in the presenters and wife. It for my peers or are telling me wide and gif plays, presenters who took it have a random relevant titles to do not affiliated with. He had for you gif by: empty pen by taking the. The presentation for listening animated gifs for watching the body is an award ceremony speech reader is serious first arabesque, he climbed to. Make your organization fulfill its vastness, then find the bed to? Music streaming video or message a sample thank your take pride in via text and widescreen view my friends and many lovely pictures to think he killed them! Also you for presentation with quotes for the speech month club is back out of people meet again till it! From you listen to thank you a presentation and presenting? But i would not, bowing people of those values. Most memorable new life happened he used in twenty strokes for some unseen animal gifs that kind. So my presentation gifs image gifs with short but an! Life go on a meme or buy sound library to gif thank you for listening to my presentation visual design type some sort a pet proposal of. -
The GIF That Keeps on Giving: Assignment Design with Looped Animations
The GIF that Keeps on Giving: Assignment Design with Looped Animations http://bit.ly/gifgive While an older format (created in 1987), GIFs (Graphics Interchange Format) have experienced a resurgence in popularity and use in the past decade. Due to the recent proliferation of digital platforms that host GIFs, the format as a means of communication and as an act of composition has become naturalized and therefore invisible. The rise in their popularity makes GIFs important for scholars of digital literacy and composition to understand and utilize in their teaching and research. We argue that their playful nature, ease of use, and delivery opens GIFs up for new avenues of research, inquiry, and analysis. As such, GIFs can be meaningfully incorporated into the composition classroom as critical components of assignment design and the feedback process. In this mini-workshop, we will introduce participants to pre-existing examples of GIF assignments we have used in courses, discuss avenues for pedagogical research, guide participants in the creation of new GIFs, and facilitate participants’ efforts to design assignments that use GIFs. Workshop Agenda http://bit.ly/gifgive Introduction ● Facilitators Icebreaker (5-10): Getting to Know You ● Participants Overview (10): The GIF That Keeps on Giving (http://bit.ly/gifgivepres) ● History (Matt) ● Integration into Current Communication (Jamie) ● Affective Nature of GIFs (Megan) ● Avenues of Inquiry ● As Digital Composition (Matt) ● Issues of Identity (Matt) ● Hierarchy/ Canon: r/highqualitygifs -
Chapter 9 Image Compression Standards
Fundamentals of Multimedia, Chapter 9 Chapter 9 Image Compression Standards 9.1 The JPEG Standard 9.2 The JPEG2000 Standard 9.3 The JPEG-LS Standard 9.4 Bi-level Image Compression Standards 9.5 Further Exploration 1 Li & Drew c Prentice Hall 2003 ! Fundamentals of Multimedia, Chapter 9 9.1 The JPEG Standard JPEG is an image compression standard that was developed • by the “Joint Photographic Experts Group”. JPEG was for- mally accepted as an international standard in 1992. JPEG is a lossy image compression method. It employs a • transform coding method using the DCT (Discrete Cosine Transform). An image is a function of i and j (or conventionally x and y) • in the spatial domain. The 2D DCT is used as one step in JPEG in order to yield a frequency response which is a function F (u, v) in the spatial frequency domain, indexed by two integers u and v. 2 Li & Drew c Prentice Hall 2003 ! Fundamentals of Multimedia, Chapter 9 Observations for JPEG Image Compression The effectiveness of the DCT transform coding method in • JPEG relies on 3 major observations: Observation 1: Useful image contents change relatively slowly across the image, i.e., it is unusual for intensity values to vary widely several times in a small area, for example, within an 8 8 × image block. much of the information in an image is repeated, hence “spa- • tial redundancy”. 3 Li & Drew c Prentice Hall 2003 ! Fundamentals of Multimedia, Chapter 9 Observations for JPEG Image Compression (cont’d) Observation 2: Psychophysical experiments suggest that hu- mans are much less likely to notice the loss of very high spatial frequency components than the loss of lower frequency compo- nents. -
Electronics Engineering
INTERNATIONAL JOURNAL OF ELECTRONICS ENGINEERING ISSN : 0973-7383 Volume 11 • Number 1 • 2019 Study of Different Image File formats for Raster images Prof. S. S. Thakare1, Prof. Dr. S. N. Kale2 1Assistant professor, GCOEA, Amravati, India, [email protected] 2Assistant professor, SGBAU,Amaravti,India, [email protected] Abstract: In the current digital world, the usage of images are very high. The development of multimedia and digital imaging requires very large disk space for storage and very long bandwidth of network for transmission. As these two are relatively expensive, Image compression is required to represent a digital image yielding compact representation of image without affecting its essential information with reducing transmission time. This paper attempts compression in some of the image representation formats and the experimental results for some image file format are also shown. Keywords: ImageFileFormats, JPEG, PNG, TIFF, BITMAP, GIF,CompressionTechniques,Compressed image processing. 1. INTRODUCTION Digital images generally occupy a large amount of storage space and therefore take longer time to transmit and download (Sayood 2012;Salomonetal 2010;Miano 1999). To reduce this time image compression is necessary. Image compression is a technique used to identify internal data redundancy and then develop a compact representation that takes up less storage space than the original image size and the reverse process is called decompression (Javed 2016; Kia 1997). There are two types of image compression (Gonzalez and Woods 2009). 1. Lossy image compression 2. Lossless image compression In case of lossy compression techniques, it removes some part of data, so it is used when a perfect consistency with the original data is not necessary after decompression. -
Understanding Image Formats and When to Use Them
Understanding Image Formats And When to Use Them Are you familiar with the extensions after your images? There are so many image formats that it’s so easy to get confused! File extensions like .jpeg, .bmp, .gif, and more can be seen after an image’s file name. Most of us disregard it, thinking there is no significance regarding these image formats. These are all different and not cross‐ compatible. These image formats have their own pros and cons. They were created for specific, yet different purposes. What’s the difference, and when is each format appropriate to use? Every graphic you see online is an image file. Most everything you see printed on paper, plastic or a t‐shirt came from an image file. These files come in a variety of formats, and each is optimized for a specific use. Using the right type for the right job means your design will come out picture perfect and just how you intended. The wrong format could mean a bad print or a poor web image, a giant download or a missing graphic in an email Most image files fit into one of two general categories—raster files and vector files—and each category has its own specific uses. This breakdown isn’t perfect. For example, certain formats can actually contain elements of both types. But this is a good place to start when thinking about which format to use for your projects. Raster Images Raster images are made up of a set grid of dots called pixels where each pixel is assigned a color. -
Universitas Internasional Batam Design And
UNIVERSITAS INTERNASIONAL BATAM Faculty of Computer Science Department of Information Systems Odd Semester 2019/2020 DESIGN AND DEVELOPMENT OF A GIF AND APNG MANIPULATION DESKTOP APPLICATION Andreas Pangestu NPM: 1631081 ABSTRACT The development of computer systems worldwide pushes the development of animated image formats. Animated images are a general and inseparable element of the internet. Aside from being a form of sharable content across computer users, animated images are one of the prominent forms of culture and communication in the internet. One of the digital image formats that supports animation is the GIF format, which by now, dominates a major proportion of all of the animated images present on the internet. The popularity of the GIF format is derived from its practicality. This practicality however comes with a trade-off in image quality. It only supports a range of 256 colors with optional full transparency. Another animated image format is called APNG, which in essence, is a PNG image but contains more than 1 image frame within it, effectively making it an animated image. APNG is superior in terms of image quality when compared to GIF, because it has the quality of a normal static PNG image. It supports 24-bit RGB colors or 32-bit RGBA colors, with an alpha channel that supports partial and/or full transparency. Despite its better quality, the GIF format is more popular and ubiquitous because of the severe lack of APNG manipulating tools on the internet. The author of this thesis will develop a cross-platform desktop GIF and APNG manipulation application. It supports 3 main features: creation of GIF and APNG images using image sequences, splitting of GIF and APNG images into image sequences, and modification of the attributes of GIF and APNG images. -
JPEG and JPEG 2000
JPEG and JPEG 2000 Past, present, and future Richard Clark Elysium Ltd, Crowborough, UK [email protected] Planned presentation Brief introduction JPEG – 25 years of standards… Shortfalls and issues Why JPEG 2000? JPEG 2000 – imaging architecture JPEG 2000 – what it is (should be!) Current activities New and continuing work… +44 1892 667411 - [email protected] Introductions Richard Clark – Working in technical standardisation since early 70’s – Fax, email, character coding (8859-1 is basis of HTML), image coding, multimedia – Elysium, set up in ’91 as SME innovator on the Web – Currently looks after JPEG web site, historical archive, some PR, some standards as editor (extensions to JPEG, JPEG-LS, MIME type RFC and software reference for JPEG 2000), HD Photo in JPEG, and the UK MPEG and JPEG committees – Plus some work that is actually funded……. +44 1892 667411 - [email protected] Elysium in Europe ACTS project – SPEAR – advanced JPEG tools ESPRIT project – Eurostill – consensus building on JPEG 2000 IST – Migrator 2000 – tool migration and feature exploitation of JPEG 2000 – 2KAN – JPEG 2000 advanced networking Plus some other involvement through CEN in cultural heritage and medical imaging, Interreg and others +44 1892 667411 - [email protected] 25 years of standards JPEG – Joint Photographic Experts Group, joint venture between ISO and CCITT (now ITU-T) Evolved from photo-videotex, character coding First meeting March 83 – JPEG proper started in July 86. 42nd meeting in Lausanne, next week… Attendance through national -
Image Formats
Image Formats Ioannis Rekleitis Many different file formats • JPEG/JFIF • Exif • JPEG 2000 • BMP • GIF • WebP • PNG • HDR raster formats • TIFF • HEIF • PPM, PGM, PBM, • BAT and PNM • BPG CSCE 590: Introduction to Image Processing https://en.wikipedia.org/wiki/Image_file_formats 2 Many different file formats • JPEG/JFIF (Joint Photographic Experts Group) is a lossy compression method; JPEG- compressed images are usually stored in the JFIF (JPEG File Interchange Format) >ile format. The JPEG/JFIF >ilename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG/JFIF format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a signi>icant reduction of the >ile size. Applications can determine the degree of compression to apply, and the amount of compression affects the visual quality of the result. When not too great, the compression does not noticeably affect or detract from the image's quality, but JPEG iles suffer generational degradation when repeatedly edited and saved. (JPEG also provides lossless image storage, but the lossless version is not widely supported.) • JPEG 2000 is a compression standard enabling both lossless and lossy storage. The compression methods used are different from the ones in standard JFIF/JPEG; they improve quality and compression ratios, but also require more computational power to process. JPEG 2000 also adds features that are missing in JPEG. It is not nearly as common as JPEG, but it is used currently in professional movie editing and distribution (some digital cinemas, for example, use JPEG 2000 for individual movie frames). -
Analysis and Comparison of Compression Algorithm for Light Field Mask
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 12 (2017) pp. 3553-3556 © Research India Publications. http://www.ripublication.com Analysis and Comparison of Compression Algorithm for Light Field Mask Hyunji Cho1 and Hoon Yoo2* 1Department of Computer Science, SangMyung University, Korea. 2Associate Professor, Department of Media Software SangMyung University, Korea. *Corresponding author Abstract This paper describes comparison and analysis of state-of-the- art lossless image compression algorithms for light field mask data that are very useful in transmitting and refocusing the light field images. Recently, light field cameras have received wide attention in that they provide 3D information. Also, there has been a wide interest in studying the light field data compression due to a huge light field data. However, most of existing light field compression methods ignore the mask information which is one of important features of light field images. In this paper, we reports compression algorithms and further use this to achieve binary image compression by realizing analysis and comparison of the standard compression methods such as JBIG, JBIG 2 and PNG algorithm. The results seem to confirm that the PNG method for text data compression provides better results than the state-of-the-art methods of JBIG and JBIG2 for binary image compression. Keywords: Lossless compression, Image compression, Light Figure. 2. Basic architecture from raw images to RGB and filed compression, Plenoptic coding mask images INTRODUCTION The LF camera provides a raw image captured from photosensor with microlens, as depicted in Fig. 1. The raw Light field (LF) cameras, also referred to as plenoptic cameras, data consists of 10 bits per pixel precision in little-endian differ from regular cameras by providing 3D information of format. -
PDF Image JBIG2 Compression and Decompression with JBIG2 Encoding and Decoding SDK Library | 1
PDF image JBIG2 compression and decompression with JBIG2 encoding and decoding SDK library | 1 JBIG2 is an image compression standard for bi-level images developed by the Joint bi-level Image Expert Group. It is suitable for lossless compression and lossy compression. According to the group’s press release, in its lossless mode, JBIG2 usually generates files that are one- third to one-fifth the size of the fax group 4 and twice the size of JBIG, which was previously released by the group. The double-layer compression standard. JBIG2 was released as an international standard ITU in 2000. JBIG2 compression JBIG2 is an international standard for bi-level image compression. By segmenting the image into overlapping and/or non-overlapping areas of text, halftones and general content, compression techniques optimized for each content type are used: *Text area: The text area is composed of characters that are well suited for symbol-based encoding methods. Usually, each symbol will correspond to a character bitmap, and a sub-image represents a character or text. For each uppercase and lowercase character used on the front face, there is usually only one character bitmap (or sub-image) in the symbol dictionary. For example, the dictionary will have an “a” bitmap, an “A” bitmap, a “b” bitmap, and so on. VeryUtils.com PDF image JBIG2 compression and decompression with JBIG2 encoding and decoding SDK library | 1 PDF image JBIG2 compression and decompression with JBIG2 encoding and decoding SDK library | 2 *Halftone area: Halftone areas are similar to text areas because they consist of patterns arranged in a regular grid.