Pillow (PIL Fork) Documentation Release 8.3.2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Digital Still Camera Image File Format Standard
Digital Still Camera Image File Format Standard (Exchangeable image file format for Digital Still Cameras: Exif) Version 2.1 June 12, 1998 Japan Electronic Industry Development Association (JEIDA) This standard makes no warranty, express or implied, with respect to the use of any intellectual property, such as patents, copyrights and trademarks, belonging to any corporation or individual. Nor does this standard make any warranty regarding system reliability or product liability. Windows™ is a registered trademark of Microsoft Corporation in the United States and elsewhere. FlashPix™ is a registered trademark of Eastman Kodak Company. Revision History This "Digital Still Camera Image File Format Standard" is issued as a standard for the image file format (Exif: Exchangeable image file format) used in digital still cameras and related systems. It was first published in October 1996 as Version 1.0i. Then in May 1997, Version 1.1ii was issued, adding specifications for optional attribute information as well as stipulations relating to format implementation, in addition to the mandatory specifications of Version 1.0. The desire for a uniform file format standard for the image data stored by digital still cameras has increased as these cameras have grown in popularity. At the same time, with the broadening application of this technology, a similar desire has arisen for uniformity of the attribute information that can be recorded in a file. The Version 2.0iii makes improvements to the Exif format for greater ease of use, while allowing for backward compatibility with products of manufacturers currently implementing Exif Version 1.x or considering its future implementation. -
Darktable 1.2 Darktable 1.2 Copyright © 2010-2012 P.H
darktable 1.2 darktable 1.2 Copyright © 2010-2012 P.H. Andersson Copyright © 2010-2011 Olivier Tribout Copyright © 2012-2013 Ulrich Pegelow The owner of the darktable project is Johannes Hanika. Main developers are Johannes Hanika, Henrik Andersson, Tobias Ellinghaus, Pascal de Bruijn and Ulrich Pegelow. darktable 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 3 of the License, or (at your option) any later version. darktable is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with darktable. If not, see http://www.gnu.org/ licenses/. The present user manual is under license cc by-sa , meaning Attribution Share Alike . You can visit http://creativecommons.org/ about/licenses/ to get more information. Table of Contents Preface to this manual ............................................................................................... v 1. Overview ............................................................................................................... 1 1.1. User interface ............................................................................................. 3 1.1.1. Views .............................................................................................. -
Open Babel Documentation Release 2.3.1
Open Babel Documentation Release 2.3.1 Geoffrey R Hutchison Chris Morley Craig James Chris Swain Hans De Winter Tim Vandermeersch Noel M O’Boyle (Ed.) December 05, 2011 Contents 1 Introduction 3 1.1 Goals of the Open Babel project ..................................... 3 1.2 Frequently Asked Questions ....................................... 4 1.3 Thanks .................................................. 7 2 Install Open Babel 9 2.1 Install a binary package ......................................... 9 2.2 Compiling Open Babel .......................................... 9 3 obabel and babel - Convert, Filter and Manipulate Chemical Data 17 3.1 Synopsis ................................................. 17 3.2 Options .................................................. 17 3.3 Examples ................................................. 19 3.4 Differences between babel and obabel .................................. 21 3.5 Format Options .............................................. 22 3.6 Append property values to the title .................................... 22 3.7 Filtering molecules from a multimolecule file .............................. 22 3.8 Substructure and similarity searching .................................. 25 3.9 Sorting molecules ............................................ 25 3.10 Remove duplicate molecules ....................................... 25 3.11 Aliases for chemical groups ....................................... 26 4 The Open Babel GUI 29 4.1 Basic operation .............................................. 29 4.2 Options ................................................. -
Panstamps Documentation Release V0.5.3
panstamps Documentation Release v0.5.3 Dave Young 2020 Getting Started 1 Installation 3 1.1 Troubleshooting on Mac OSX......................................3 1.2 Development...............................................3 1.2.1 Sublime Snippets........................................4 1.3 Issues...................................................4 2 Command-Line Usage 5 3 Documentation 7 4 Command-Line Tutorial 9 4.1 Command-Line..............................................9 4.1.1 JPEGS.............................................. 12 4.1.2 Temporal Constraints (Useful for Moving Objects)...................... 17 4.2 Importing to Your Own Python Script.................................. 18 5 Installation 19 5.1 Troubleshooting on Mac OSX...................................... 19 5.2 Development............................................... 19 5.2.1 Sublime Snippets........................................ 20 5.3 Issues................................................... 20 6 Command-Line Usage 21 7 Documentation 23 8 Command-Line Tutorial 25 8.1 Command-Line.............................................. 25 8.1.1 JPEGS.............................................. 28 8.1.2 Temporal Constraints (Useful for Moving Objects)...................... 33 8.2 Importing to Your Own Python Script.................................. 34 8.2.1 Subpackages.......................................... 35 8.2.1.1 panstamps.commonutils (subpackage)........................ 35 8.2.1.2 panstamps.image (subpackage)............................ 35 8.2.2 Classes............................................ -
Discrete Cosine Transform for 8X8 Blocks with CUDA
Discrete Cosine Transform for 8x8 Blocks with CUDA Anton Obukhov [email protected] Alexander Kharlamov [email protected] October 2008 Document Change History Version Date Responsible Reason for Change 0.8 24.03.2008 Alexander Kharlamov Initial release 0.9 25.03.2008 Anton Obukhov Added algorithm-specific parts, fixed some issues 1.0 17.10.2008 Anton Obukhov Revised document structure October 2008 2 Abstract In this whitepaper the Discrete Cosine Transform (DCT) is discussed. The two-dimensional variation of the transform that operates on 8x8 blocks (DCT8x8) is widely used in image and video coding because it exhibits high signal decorrelation rates and can be easily implemented on the majority of contemporary computing architectures. The key feature of the DCT8x8 is that any pair of 8x8 blocks can be processed independently. This makes possible fully parallel implementation of DCT8x8 by definition. Most of CPU-based implementations of DCT8x8 are firmly adjusted for operating using fixed point arithmetic but still appear to be rather costly as soon as blocks are processed in the sequential order by the single ALU. Performing DCT8x8 computation on GPU using NVIDIA CUDA technology gives significant performance boost even compared to a modern CPU. The proposed approach is accompanied with the sample code “DCT8x8” in the NVIDIA CUDA SDK. October 2008 3 1. Introduction The Discrete Cosine Transform (DCT) is a Fourier-like transform, which was first proposed by Ahmed et al . (1974). While the Fourier Transform represents a signal as the mixture of sines and cosines, the Cosine Transform performs only the cosine-series expansion. -
Making Color Images with the GIMP Las Cumbres Observatory Global Telescope Network Color Imaging: the GIMP Introduction
Las Cumbres Observatory Global Telescope Network Making Color Images with The GIMP Las Cumbres Observatory Global Telescope Network Color Imaging: The GIMP Introduction These instructions will explain how to use The GIMP to take those three images and composite them to make a color image. Users will also learn how to deal with minor imperfections in their images. Note: The GIMP cannot handle FITS files effectively, so to produce a color image, users will have needed to process FITS files and saved them as grayscale TIFF or JPEG files as outlined in the Basic Imaging section. Separately filtered FITS files are available for you to use on the Color Imaging page. The GIMP can be downloaded for Windows, Mac, and Linux from: www.gimp.org Loading Images Loading TIFF/JPEG Files Users will be processing three separate images to make the RGB color images. When opening files in The GIMP, you can select multiple files at once by holding the Ctrl button and clicking on the TIFF or JPEG files you wish to use to make a color image. Go to File > Open. Image Mode RGB Mode Because these images are saved as grayscale, all three images need to be converted to RGB. This is because color images are made from (R)ed, (G)reen, and (B)lue picture elements (pixels). The different shades of gray in the image show the intensity of light in each of the wavelengths through the red, green, and blue filters. The colors themselves are not recorded in the image. Adding Color Information For the moment, these images are just grayscale. -
Netpbm Format - Wikipedia, the Free Encyclopedia
Netpbm format - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Portable_anymap Netpbm format From Wikipedia, the free encyclopedia (Redirected from Portable anymap) The phrase Netpbm format commonly refers to any or all Portable pixmap of the members of a set of closely related graphics formats used and defined by the Netpbm project. The portable Filename .ppm, .pgm, .pbm, pixmap format (PPM), the portable graymap format extension .pnm (PGM) and the portable bitmap format (PBM) are image file formats designed to be easily exchanged between Internet image/x-portable- platforms. They are also sometimes referred to collectively media type pixmap, -graymap, [1] as the portable anymap format (PNM). -bitmap, -anymap all unofficial Developed Jef Poskanzer Contents by 1 History Type of Image file formats 2 File format description format 2.1 PBM example 2.2 PGM example 2.3 PPM example 3 16-bit extensions 4 See also 5 References 6 External links History The PBM format was invented by Jef Poskanzer in the 1980s as a format that allowed monochrome bitmaps to be transmitted within an email message as plain ASCII text, allowing it to survive any changes in text formatting. Poskanzer developed the first library of tools to handle the PBM format, Pbmplus, released in 1988. It mainly contained tools to convert between PBM and other graphics formats. By the end of 1988, Poskanzer had developed the PGM and PPM formats along with their associated tools and added them to Pbmplus. The final release of Pbmplus was December 10, 1991. In 1993, the Netpbm library was developed to replace the unmaintained Pbmplus. -
PFC LUCIA BERROCAL SAEZ.Pdf
El presente proyecto fin de carrera consiste en el diseño, desarrollo e implementación de una aplicación informática cuya función sea la identificación de distintos ficheros de imagen, audio y video y la interpretación y presentación de los metadatos asociados a los mismos. El software desarrollado, EXTRACTORDATOS_LBS, reconocerá el tipo de formato del fichero bajo estudio a partir del análisis de los bytes de identificación contenidos en la cabecera del archivo. En base a la información registrada en dicha cabecera, la aplicación interpretará el contenido de los metadatos asociados al fichero, mostrando por pantalla aquellos que resulten de interés para el análisis de los mismos. Previamente a la implementación del software se acomete el análisis teórico de los formatos de diversos archivos multimedia, recogidos en múltiples normas y recomendaciones. Tras esa identificación, se procede al desarrollo de la aplicación EXTRACTORDATOS_LBS , que informa de los parámetros de interés contenidos en las cabeceras de los archivos. El desarrollo se ilustra con los diagramas conceptuales asociados a la arquitectura del software implementado. De igual forma, se muestran las salidas por pantalla de una serie de ficheros de muestra, y se presenta el manual de usuario de la aplicación. La versión electrónica de este documento acompaña el ejecutable que permite el análisis de los archivos. This final project consists in the design, development and implementation of a computer application whose function is the identification of different image, audio and video files and the interpretation and presentation of their metadata. The software developed, EXTRACTORDATOS_LBS, will recognize the type of the file under study through the analysis of the identification bytes contained on the file’s header. -
Arxiv:2002.01657V1 [Eess.IV] 5 Feb 2020 Port Lossless Model to Compress Images Lossless
LEARNED LOSSLESS IMAGE COMPRESSION WITH A HYPERPRIOR AND DISCRETIZED GAUSSIAN MIXTURE LIKELIHOODS Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan. ABSTRACT effectively in [12, 13, 14]. Some methods decorrelate each Lossless image compression is an important task in the field channel of latent codes and apply deep residual learning to of multimedia communication. Traditional image codecs improve the performance as [15, 16, 17]. However, deep typically support lossless mode, such as WebP, JPEG2000, learning based lossless compression has rarely discussed. FLIF. Recently, deep learning based approaches have started One related work is L3C [18] to propose a hierarchical archi- to show the potential at this point. HyperPrior is an effective tecture with 3 scales to compress images lossless. technique proposed for lossy image compression. This paper In this paper, we propose a learned lossless image com- generalizes the hyperprior from lossy model to lossless com- pression using a hyperprior and discretized Gaussian mixture pression, and proposes a L2-norm term into the loss function likelihoods. Our contributions mainly consist of two aspects. to speed up training procedure. Besides, this paper also in- First, we generalize the hyperprior from lossy model to loss- vestigated different parameterized models for latent codes, less compression model, and propose a loss function with L2- and propose to use Gaussian mixture likelihoods to achieve norm for lossless compression to speed up training. Second, adaptive and flexible context models. Experimental results we investigate four parameterized distributions and propose validate our method can outperform existing deep learning to use Gaussian mixture likelihoods for the context model. -
Supported File Types and Size Limits
Data Security Supported File Formats and Size Limits Supported File Formats and Size Limits | Data Security Solutions | Version 7.7.x This article provides a list of all the Supported File Formats that can be analyzed by Websense Data Security, as well as the File Size Limits for network, endpoint, and discovery functions. Supported File Formats Supported File Formats and Size Limits | Data Security Solutions | Version 7.7.x This article provides a list of all the file formats that Websense Data Security supports. The file formats supported are constantly being updated and added to. File Type Description 7-Zip 7-Zip format Ability Comm Communication Ability Ability DB Database Ability Ability Image Raster Image Ability Ability SS Spreadsheet Ability Ability WP Word Processor Ability AC3 Audio File Format AC3 Audio File Format ACE ACE Archive ACT ACT AD1 AD1 evidence file Adobe FrameMaker Adobe FrameMaker Adobe FrameMaker Book Adobe FrameMaker Book Adobe Maker Interchange Adobe Maker Interchange format Adobe PDF Portable Document Format Advanced Streaming Microsoft Advanced Streaming file Advanced Systems Format Advanced Systems Format (ASF) Data Security - Supported Files Types and Size Limits 1 Data Security Supported File Formats and Size Limits File Type Description Advanced Systems Format Advanced Systems Format (WMA) Advanced Systems Format Advanced Systems Format (WMV) AES Multiplus Comm Multiplus (AES) Aldus Freehand Mac Aldus Freehand Mac Aldus PageMaker (DOS) Aldus PageMaker for Windows Aldus PageMaker (Mac) Aldus PageMaker