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Color Management
Color Management hotoshop 5.0 was justifiably praised as a ground- breaking upgrade when it was released in the summer of 1998, although the changes made to the color P management setup were less well received in some quarters. This was because the revised system was perceived to be complex and unnecessary. Bruce Fraser once said of the Photoshop 5.0 color management system ‘it’s push-button simple, as long as you know which of the 60 or so buttons to push!’ Attitudes have changed since then (as has the interface) and it is fair to say that most people working today in the pre-press industry are now using ICC color profile managed workflows. The aim of this chapter is to introduce the basic concepts of color management before looking at the color management interface in Photoshop and the various color management settings. 1 Color management Adobe Photoshop CS6 for Photographers: www.photoshopforphotographers.com The need for color management An advertising agency art buyer was once invited to address a meeting of photographers. The chair, Mike Laye, suggested we could ask him anything we wanted, except ‘Would you like to see my book?’ And if he had already seen your book, we couldn’t ask him why he hadn’t called it back in again. And if he had called it in again we were not allowed to ask why we didn’t get the job. And finally, if we did get the job we were absolutely forbidden to ask why the color in the printed ad looked nothing like the original photograph! That in a nutshell is a problem which has bugged many of us throughout our working lives, and it is one which will be familiar to anyone who has ever experienced the difficulty of matching colors on a computer display with the original or a printed output. -
Information and Compression Introduction Summary of Course
Information and compression Introduction ■ We will be looking at what information is Information and Compression ■ Methods of measuring it ■ The idea of compression ■ 2 distinct ways of compressing images Paul Cockshott Faraday partnership Summary of Course Agenda ■ At the end of this lecture you should have ■ Encoding systems an idea what information is, its relation to ■ BCD versus decimal order, and why data compression is possible ■ Information efficiency ■ Shannons Measure ■ Chaitin, Kolmogorov Complexity Theory ■ Relation to Goedels theorem Overview Connections ■ Data coms channels bounded ■ Simple encoding example shows different ■ Images take great deal of information in raw densities possible form ■ Shannons information theory deals with ■ Efficient transmission requires denser transmission encoding ■ Chaitin relates this to Turing machines and ■ This requires that we understand what computability information actually is ■ Goedels theorem limits what we know about compression paul 1 Information and compression Vocabulary What is information ■ information, ■ Information measured in bits ■ entropy, ■ Bit equivalent to binary digit ■ compression, ■ Why use binary system not decimal? ■ redundancy, ■ Decimal would seem more natural ■ lossless encoding, ■ Alternatively why not use e, base of natural ■ lossy encoding logarithms instead of 2 or 10 ? Voltage encoding Noise Immunity Binary voltage ■ ■ ■ 5v Digital information BINARY DECIMAL encoded as ranges of ■ 2 values 0,1 ■ 10 values 0..9 continuous variables 1 ■ 1 isolation band ■ -
An Improved Fast Fractal Image Compression Coding Method
Rev. Téc. Ing. Univ. Zulia. Vol. 39, Nº 9, 241 - 247, 2016 doi:10.21311/001.39.9.32 An Improved Fast Fractal Image Compression Coding Method Haibo Gao, Wenjuan Zeng, Jifeng Chen, Cheng Zhang College of Information Science and Engineering, Hunan International Economics University, Changsha 410205, Hunan, China Abstract The main purpose of image compression is to use as many bits as possible to represent the source image by eliminating the image redundancy with acceptable restoration. Fractal image compression coding has achieved good results in the field of image compression due to its high compression ratio, fast decoding speed as well as independency between decoding image and resolution. However, there is a big problem in this method, i.e. long coding time because there are considerable searches of fractal blocks in the coding. Based on the theoretical foundation of fractal coding and fractal compression algorithm, this paper researches every step of this compression method, including block partition, block search and the representation of affine transformation coefficient, in order to come up with optimization and improvement strategies. The simulation result shows that the algorithm of this paper can achieve excellent effects in coding time and compression ratio while ensuring better image quality. The work on fractal coding in this paper has made certain contributions to the research of fractal coding. Key words: Image Compression, Fractal Theory, Coding and Decoding. 1. INTRODUCTION Image compression is aimed to use as many bytes as possible to represent and transmit the original big image and to have a better quality in the restored image. -
Package 'Magick'
Package ‘magick’ August 18, 2021 Type Package Title Advanced Graphics and Image-Processing in R Version 2.7.3 Description Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates. License MIT + file LICENSE URL https://docs.ropensci.org/magick/ (website) https://github.com/ropensci/magick (devel) BugReports https://github.com/ropensci/magick/issues SystemRequirements ImageMagick++: ImageMagick-c++-devel (rpm) or libmagick++-dev (deb) VignetteBuilder knitr Imports Rcpp (>= 0.12.12), magrittr, curl LinkingTo Rcpp Suggests av (>= 0.3), spelling, jsonlite, methods, knitr, rmarkdown, rsvg, webp, pdftools, ggplot2, gapminder, IRdisplay, tesseract (>= 2.0), gifski Encoding UTF-8 RoxygenNote 7.1.1 Language en-US NeedsCompilation yes Author Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>) Maintainer Jeroen Ooms <[email protected]> 1 2 analysis Repository CRAN Date/Publication 2021-08-18 10:10:02 UTC R topics documented: analysis . .2 animation . .3 as_EBImage . .6 attributes . .7 autoviewer . .7 coder_info . .8 color . .9 composite . 12 defines . 14 device . 15 edges . 17 editing . 18 effects . 22 fx .............................................. 23 geometry . 24 image_ggplot . -
'" )Timizing Images ) ~I
k ' Anyone wlio linn IIVIII IIMd tliu Wub hns li kely 11H I11tl liy ulow lontlin g Wob sites. It's ', been fn1 11 the ft 1111 cl nlli{lll n1 mlllllll wh111 o th o fil o si of t/11 1 f /11tpli1 LII lt ill llliltl lltt 111t n huw fnst Sllll/ 111 111 11 I 1111 VIIIW 11 111 111 , Mllki l1(1 111't1 11 11 7 W11 1! 1/lllpliiL" 111 llll lllillnti lltlllllltll>ll. 1 l iitllllllllnl 111111 '" )timizing Images y, / l1111 11 11 11111' Lil'J C:ii') I1111 Vi llll ihllillnn l 111 1111 / 11 / ~il/ 11/ y 11111111 In l1 nlp Yll ll IIIIIMIIII IIII I/ 1 11111 I Optimizing JPEGs I 1 I Selective JPEG Optimization with Alpha Channels I l 11 tp111 11 1111 II 1111 111 I 1111 !11 11 1 IIIII nlllll I Optimizing GIFs I Choosing the Right Color Reduction Palette I lljllillll/11 111111 Ill II lillllljliiiX 111 111/r ll I lilnl illllli l 'lilltlllllllip (;~,:; 111 111 I Reducing Colors I Locking Colors I Selective G/F Optimization I illtnrlln lll ll" lllt l" "'ll" i ~IIIH i y C}l •; I Previewing Images in a Web Browser I llnt11tl. II 111 111/ M ullt.li 11 n tlttlmt, 1111111' I Optimizing G/Fs and JPEGs in lmageReady CS2 I IlVII filllll/11111, /111 t/11/l lh, }/ '/ CJ, lind ) If unlnmdtltl In yn tl, /hoy won't chap_ OJ 11111 bo lo1 ""'II· II yo 11'1 11 n pw nt oplimi1 PCS2Web HOT CD-ROM I ing Wol1 IJIIipluc;u, you'll bo impronml d by th o llllpOI'b optimiw ti on cupnbilitlos in ,,, Photoshop CS7 und lmng oRondy CS?. -
Im Agemagick
Convert, Edit, and Compose Images Magick ge a m I ImageMagick User's Guide version 5.4.8 John Cristy Bob Friesenhahn Glenn Randers-Pehrson ImageMagick Studio LLC http://www.imagemagick.org Copyright Copyright (C) 2002 ImageMagick Studio, a non-profit organization dedicated to making software imaging solutions freely available. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (“ImageMagick”), to deal in ImageMagick without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of ImageMagick, and to permit persons to whom the ImageMagick is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of ImageMagick. The software is provided “as is”, without warranty of any kind, express or im- plied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall ImageMagick Studio be liable for any claim, damages or other liability, whether in an action of con- tract, tort or otherwise, arising from, out of or in connection with ImageMagick or the use or other dealings in ImageMagick. Except as contained in this notice, the name of the ImageMagick Studio shall not be used in advertising or otherwise to promote the sale, use or other dealings in ImageMagick without prior written authorization from the ImageMagick Studio. v Contents Preface . xiii Part 1: Quick Start Guide ¡ ¡ ¢ £ ¢ ¡ ¢ £ ¢ ¡ ¡ ¡ ¢ £ ¡ ¢ £ ¢ ¡ ¢ £ ¢ ¡ ¡ ¡ ¢ £ ¢ ¡ ¢ 1 1 Introduction . 3 1.1 What is ImageMagick . -
14. Using Your Own Images
Cricut Design Space User Manual 14. Using your own images D. Preparing artwork from CorelDRAW Cricut Design Space™ lets you upload most .jpg, .gif, .png, .bmp, .svg, and .dxf images and convert them into cuttable shapes. The tool doesn’t allow you to make modifications to the design itself, which is why working with CorelDRAW to prepare your files is effective. With CorelDRAW, you can use the full range of tools to create and modify your designs, and then upload them to Cricut Design Space. The two different types of images are Basic and Vector. CorelDRAW is primarily a vector program, which means it saves vector files like .svg and .dxf, but it can also save .jpg, .png, and .bmp files. Artwork created in CorelDRAW can be used to: (1) Print the image on your home printer and cut it out using your Cricut® machine with the Print then Cut feature. (2) Cut or draw the outline of the image. Page | 1 Cricut Design Space User Manual (3) Create cuttable shapes and images. Multilayer images will be separated into layers on the Canvas. Tip: Multilayer images can be flattened into a single layer in Cricut Design Space. Use the Flatten tool to turn any multilayer image into a single layer that can be used with Print then Cut. Page | 2 Cricut Design Space User Manual Preparing artwork The following steps use CorelDRAW X8. Although the screenshots will be different in older versions, the process is the same. Vector files .dxf and .svg Step 1 Create or modify an image using any of the CorelDRAW tools. -
Image Processing
IMAGE PROCESSING ROBOTICS CLUB SUMMER CAMP’12 WHAT IS IMAGE PROCESSING? IMAGE PROCESSING = IMAGE + PROCESSING WHAT IS IMAGE? IMAGE = Made up of PIXELS Each Pixels is like an array of Numbers. Numbers determine colour of Pixel. TYPES OF IMAGES 1. BINARY IMAGE 2. GREYSCALE IMAGE 3. COLOURED IMAGE BINARY IMAGE Each Pixel has either 1 (White) or 0 (Black) Depth =1 (bit) Number of Channels = 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 GRAYSCALE Each Pixel has a value from 0 to 255. 0 : black and 1 : White Between 0 and 255 are shades of b&w. Depth=8 (bits) Number of Channels =1 GRAYSCALE IMAGE RGB IMAGE Each Pixel stores 3 values :- R : 0- 255 G: 0 -255 B : 0-255 Depth=8 (bits) Number of Channels = 3 RGB IMAGE HSV IMAGE Each pixel stores 3 values :- H ( hue ) : 0 -180 S (saturation) : 0-255 V (value) : 0-255 Depth = 8 (bits) Number of Channels = 3 Note : Hue in general is from 0-360 , but as hue is 8 bits in OpenCV , it is shrinked to 180 STARTING WITH OPENCV OpenCV is a library for C language developed for Image Processing To embed opencv library in Dev C complier , follow instructions in :- http://opencv.willowgarage.com/wiki/DevCpp HEADER FILES IN C After embedding openCV library in Dev C include following header files:- #include "cv.h" #include "highgui.h" IMAGE POINTER An image is stored as a structure IplImage with following elements :- int height Width int width int nChannels int depth Height char *imageData int widthStep …. -
Metadefender Core V4.12.2
MetaDefender Core v4.12.2 © 2018 OPSWAT, Inc. All rights reserved. OPSWAT®, MetadefenderTM and the OPSWAT logo are trademarks of OPSWAT, Inc. All other trademarks, trade names, service marks, service names, and images mentioned and/or used herein belong to their respective owners. Table of Contents About This Guide 13 Key Features of Metadefender Core 14 1. Quick Start with Metadefender Core 15 1.1. Installation 15 Operating system invariant initial steps 15 Basic setup 16 1.1.1. Configuration wizard 16 1.2. License Activation 21 1.3. Scan Files with Metadefender Core 21 2. Installing or Upgrading Metadefender Core 22 2.1. Recommended System Requirements 22 System Requirements For Server 22 Browser Requirements for the Metadefender Core Management Console 24 2.2. Installing Metadefender 25 Installation 25 Installation notes 25 2.2.1. Installing Metadefender Core using command line 26 2.2.2. Installing Metadefender Core using the Install Wizard 27 2.3. Upgrading MetaDefender Core 27 Upgrading from MetaDefender Core 3.x 27 Upgrading from MetaDefender Core 4.x 28 2.4. Metadefender Core Licensing 28 2.4.1. Activating Metadefender Licenses 28 2.4.2. Checking Your Metadefender Core License 35 2.5. Performance and Load Estimation 36 What to know before reading the results: Some factors that affect performance 36 How test results are calculated 37 Test Reports 37 Performance Report - Multi-Scanning On Linux 37 Performance Report - Multi-Scanning On Windows 41 2.6. Special installation options 46 Use RAMDISK for the tempdirectory 46 3. Configuring Metadefender Core 50 3.1. Management Console 50 3.2. -
Dithering and Quantization of Audio and Image
Dithering and Quantization of audio and image Maciej Lipiński - Ext 06135 1. Introduction This project is going to focus on issue of dithering. The main aim of assignment was to develop a program to quantize images and audio signals, which should add noise and to measure mean square errors, comparing the quality of the quantized images with and without noise. The program realizes fallowing: - quantize an image or audio signal using n levels (defined by the user); - measure the MSE (Mean Square Error) between the original and the quantized signals; - add uniform noise in [-d/2,d/2], where d is the quantization step size, using n levels; - quantify the signal (image or audio) after adding the noise, using n levels (user defined); - measure the MSE by comparing the noise-quantized signal with the original; - compare results. The program shows graphic result, presenting original image/audio, quantized image/audio and quantized with dither image/audio. It calculates and displays the values of MSE – mean square error. 2. DITHERING Dither is a form of noise, “erroneous” signal or data which is intentionally added to sample data for the purpose of minimizing quantization error. It is utilized in many different fields where digital processing is used, such as digital audio and images. The quantization and re-quantization of digital data yields error. If that error is repeating and correlated to the signal, the error that results is repeating. In some fields, especially where the receptor is sensitive to such artifacts, cyclical errors yield undesirable artifacts. In these fields dither is helpful to result in less determinable distortions. -
Graphicconverter 6.6
User’s Manual GraphicConverter 6.6 Programmed by Thorsten Lemke Manual by Hagen Henke Sales: Lemke Software GmbH PF 6034 D-31215 Peine Tel: +49-5171-72200 Fax:+49-5171-72201 E-mail: [email protected] In the PDF version of this manual, you can click the page numbers in the contents and index to jump to that particular page. © 2001-2009 Elbsand Publishers, Hagen Henke. All rights reserved. www.elbsand.de Sales: Lemke Software GmbH, PF 6034, D-31215 Peine www.lemkesoft.com This book including all parts is protected by copyright. It may not be reproduced in any form outside of copyright laws without permission from the author. This applies in parti- cular to photocopying, translation, copying onto microfilm and storage and processing on electronic systems. All due care was taken during the compilation of this book. However, errors cannot be completely ruled out. The author and distributors therefore accept no responsibility for any program or documentation errors or their consequences. This manual was written on a Mac using Adobe FrameMaker 6. Almost all software, hardware and other products or company names mentioned in this manual are registered trademarks and should be respected as such. The following list is not necessarily complete. Apple, the Apple logo, and Macintosh are trademarks of Apple Computer, Inc., registered in the United States and other countries. Mac and the Mac OS logo are trademarks of Apple Computer, Inc. Photo CD mark licensed from Kodak. Mercutio MDEF copyright Ramon M. Felciano 1992- 1998 Copyright for all pictures in manual and on cover: Hagen Henke except for page 95 exa- mple picture Tayfun Bayram and others from www.photocase.de; page 404 PCD example picture © AMUG Arizona Mac Users Group Inc. -
Coreldraw Graphics Suite 2021 Quick Start Guide
Windows QUICK START GUIDE CorelDRAW Graphics Suite 2021 CorelDRAW® Graphics Suite 2021 offers fully-integrated applications — CorelDRAW® 2021, Corel PHOTO-PAINT™ 2021, and Corel® Font Manager 2021 — and complementary plugins that cover everything from vector illustration and page layout, to photo editing, bitmap-to-vector tracing, web graphics, and font management. CorelDRAW 2021 Workspace Title bar: Displays the title of the open Rulers: Calibrated lines with markers used to Standard toolbar: A detachable bar that contains shortcuts to menu and other document. determine the size and position of objects in a commands, such as opening, saving and printing. drawing. Menu bar: The area containing pull-down Property bar: A detachable bar with options and commands. commands that relate to the active tool or object. Toolbox: Contains tools for creating and Docker: A window containing available modifying objects in the drawing. commands and settings relevant to a specific tool or task. Drawing window: The area bordered by Color palette: A dockable bar that contains the scroll bars and application controls. It color swatches. includes the drawing page and the surrounding area, which is also known as desktop. Drawing page: The rectangular area Navigator: A button that opens a smaller inside the drawing window. It is the display to help you move around a printable area of your project. drawing. Document navigator: An area that lets Status bar: Contains information about you show, add, rename, delete, and object properties such as type, size, color, duplicate pages. fill, and resolution. The status bar also shows the current cursor position. Document palette: A dockable bar that contains color swatches for the current document.