Optimization of Image Compression for Scanned Document's Storage
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Lossy Image Compression Based on Prediction Error and Vector Quantisation Mohamed Uvaze Ahamed Ayoobkhan* , Eswaran Chikkannan and Kannan Ramakrishnan
Ayoobkhan et al. EURASIP Journal on Image and Video Processing (2017) 2017:35 EURASIP Journal on Image DOI 10.1186/s13640-017-0184-3 and Video Processing RESEARCH Open Access Lossy image compression based on prediction error and vector quantisation Mohamed Uvaze Ahamed Ayoobkhan* , Eswaran Chikkannan and Kannan Ramakrishnan Abstract Lossy image compression has been gaining importance in recent years due to the enormous increase in the volume of image data employed for Internet and other applications. In a lossy compression, it is essential to ensure that the compression process does not affect the quality of the image adversely. The performance of a lossy compression algorithm is evaluated based on two conflicting parameters, namely, compression ratio and image quality which is usually measured by PSNR values. In this paper, a new lossy compression method denoted as PE-VQ method is proposed which employs prediction error and vector quantization (VQ) concepts. An optimum codebook is generated by using a combination of two algorithms, namely, artificial bee colony and genetic algorithms. The performance of the proposed PE-VQ method is evaluated in terms of compression ratio (CR) and PSNR values using three different types of databases, namely, CLEF med 2009, Corel 1 k and standard images (Lena, Barbara etc.). Experiments are conducted for different codebook sizes and for different CR values. The results show that for a given CR, the proposed PE-VQ technique yields higher PSNR value compared to the existing algorithms. It is also shown that higher PSNR values can be obtained by applying VQ on prediction errors rather than on the original image pixels. -
Top 10 Reasons to Choose Autocad Raster Design 2010
Top 10 Reasons to Choose AutoCAD Raster Design 2010 The Power of AutoCAD Minimize Costly Redrafting and Data Entry Time 1 Convert your scanned paper drawings to vector with Raster Design interactive and semiautomatic conversion tools. Use dynamic dimensioning and grip editing with vectorization Extend the power of AutoCAD® and tools to speed up the conversion and verification of raster AutoCAD-based software with AutoCAD® primitives such as lines, arcs, and circles. Easily convert Raster Design software. Make the most of continuous raster entities into AutoCAD polylines and 3D rasterized scanned drawings, maps, aerial polylines with vectorization following tools. Create and photos, satellite imagery, and digital elevation effectively manage hybrid drawings by converting only the models. Get more out of your raster data and necessary raster geometry, thereby speeding document enhance your designs, plans, presentations, and drawing revisions and updates. In addition, use optical and maps. AutoCAD Raster Design enables character recognition (OCR) functionality to recognize you to work in an AutoCAD environment, machine- and hand-printed text and tables on raster significantly reducing the need to purchase images to create AutoCAD text or multiline text (mtext). and learn multiple applications. RESULT: Speed project completion by unlocking and making the most of existing scanned engineering drawings, plans, Now Is the Time and maps. Use the Imagery You Require Take a look at how AutoCAD Raster Design AutoCAD Raster Design software supports a wide variety can help you improve your design process. 2 of industry-standard file formats, including single-image and multispectral file formats such as CALS, ER Mapper For more information about ECW, GIF, JPEG, JPEG 2000, LizardTech™ MrSID, TGA, AutoCAD Raster Design, go to TIFF, and more. -
Understanding Compression of Geospatial Raster Imagery
Understanding Compression of Geospatial Raster Imagery Document Overview This document was created for the North Carolina Geographic Information and Coordinating Council (GICC), http://ncgicc.com, by the GIS Technical Advisory Committee (TAC). Its purpose is to serve as a best practice or guidance document for GIS professionals that are compressing raster images. This document only addresses compressing geospatial raster data and specifically aerial or orthorectified imagery. It does not address compressing LiDAR data. Compression Overview Compression is the process of making data more compact so it occupies less disk storage space. The primary benefit of compressing raster data is reduction in file size. An added benefit is greatly improved performance over a network, because the user is transferring less data from a server to an application; however, compressed data must be decompressed to display in GIS software. The result may be slower raster display in GIS software than data that is not compressed. Compressed data can also increase CPU requirements on the server or desktop. Glossary of Common Terms Raster is a spatial data model made of rows and columns of cells. Each cell contains an attribute value identifying its color and location coordinate. Geospatial raster data like satellite images and aerial photographs are typically larger on average than vector data (predominately points, lines, or polygons). Compression is the process of making a (raster) file smaller while preserving all or most of the data it contains. Imagery compression enables storage of more data (image files) on a disk than if they were uncompressed. Compression ratio is the amount or degree of reduction of an image's file size. -
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). -
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. -
Parallel Heterogeneous Computing a Case Study on Accelerating JPEG2000 Coder
Parallel Heterogeneous Computing A Case Study On Accelerating JPEG2000 Coder by Ro-To Le M.Sc., Brown University; Providence, RI, USA, 2009 B.Sc., Hanoi University of Technology; Hanoi, Vietnam, 2007 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The School of Engineering at Brown University PROVIDENCE, RHODE ISLAND May 2013 c Copyright 2013 by Ro-To Le This dissertation by Ro-To Le is accepted in its present form by The School of Engineering as satisfying the dissertation requirement for the degree of Doctor of Philosophy. Date R. Iris Bahar, Ph.D., Advisor Date Joseph L. Mundy, Ph.D., Advisor Recommended to the Graduate Council Date Vishal Jain, Ph.D., Reader Approved by the Graduate Council Date Peter M. Weber, Dean of the Graduate School iii Vitae Roto Le was born in Duc-Tho, Ha-Tinh, a countryside area in the Midland of Vietnam. He received his B.Sc., with Excellent Classification, in Electronics and Telecommunications from Hanoi University of Technology in 2007. Soon after re- ceiving his B.Sc., Roto came to Brown University to start a Ph.D. program in Com- puter Engineering in Fall 2007. His Ph.D. program was sponsored by a fellowship from the Vietnam Education Foundation, which was selectively nominated by the National Academies’ scientists. During his Ph.D. program, he earned a M.Sc. degree in Computer Engineering in 2009. Roto has been studying several aspects of modern computing systems, from hardware architecture and VLSI system design to high-performance software design. He has published several articles in designing a parallel JPEG2000 coder based on heterogeneous CPU-GPGPU systems and designing novel Three-Dimensional (3D) FPGA architectures. -
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.. ............................................................................................................................ -
Terraexplorer® Pro Datasheet
TerraExplorer® Pro Version 6.6.1 Datasheet www.SkylineGlobe.com TABLE OF CONTENTS OVERVIEW ............................................................................................................................................................. 4 PRODUCT MAIN FEATURES .................................................................................................................................... 4 LAYERS ................................................................................................................................................................... 5 FEATURE LAYERS ............................................................................................................................................................ 5 COMPLEX LAYERS ........................................................................................................................................................... 7 IMAGERY LAYERS ............................................................................................................................................................ 7 ELEVATION LAYERS ......................................................................................................................................................... 9 3D MESH LAYERS (3DML) .............................................................................................................................................. 9 OBJECTS .............................................................................................................................................................. -
Image Compression and Its Effect on Data Khaled S
Marshall University Marshall Digital Scholar Theses, Dissertations and Capstones 1-1-2004 Image Compression and its Effect on Data Khaled S. Alkharabsheh Follow this and additional works at: http://mds.marshall.edu/etd Part of the Geophysics and Seismology Commons, Graphics and Human Computer Interfaces Commons, and the Physical and Environmental Geography Commons Recommended Citation Alkharabsheh, Khaled S., "Image Compression and its Effect on Data" (2004). Theses, Dissertations and Capstones. Paper 441. This Thesis is brought to you for free and open access by Marshall Digital Scholar. It has been accepted for inclusion in Theses, Dissertations and Capstones by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected]. IMAGE COMPRESSION AND ITS EFFECT ON DATA Thesis submitted to The Graduate College of Marshall University In partial fulfillment of the Requirements for the degree of Master of Science Physical Science GeoBioPhysical Modeling by Khaled S. Alkharabsheh Prof. Ralph Oberly, Committee Chairperson, Ph.D Prof. James Brumfield, Ph.D Marshall University Aug. 02, 2004 ii ABSTRACT IMAGE COMPRESSION AND ITS EFFECT ON IMAGES By Khaled S. Alkharabsheh This thesis is intended to define and study different image compression techniques, software programs, image formats (from early ones such as “GIF” to most recent ones such as “JPEG 2000”), compression effect on compressed data (compressed images), and its effectiveness and usefulness in reducing the file size and its transmission time, as a result. In many GeoBioPhysical applications, some information inside any image may be the keys to solve different kinds of problems and classify features. This kind of data and information has to be handled with care; i.e. -
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. -
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.