'Compression scheme' diaporamas de présentation

COMPRESSION

COMPRESSION. Introduction General compression scheme Compression based on orthongonal transforms JPEG. INTRODUCTION. Why to compress images ? digital images are nowadays ubiquitous : Science : remote sensing, medicine (CT, MRI, US ...) Industry : Machine vision

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OBJECTIVES

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Index Compression

Index Compression. Ferrol Aderholdt. Motivation. Uncompressed indexes are large It might be useful for some modern devices to support information retrieval techniques that would not be able to do with uncompressed indexes. Motivation (cont.). Disk I/O is slow. Types of Compression. Lossy

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Images | Color

Images | Color. Optimizing. Optimizing images - right balance between file size and picture quality. Source : http://www.yourhtmlsource.com/optimisation/imageoptimisation.html#minimalism. Ways to optimize. Areas where bytes can be shaved off your graphics: Bit depth (number of colors)

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Introduction

Introduction. Much of the information is in form of images Images are handled by machines as a matrix of digital picture elements, or pixels The appearance of an image depends on image type resolution. Types of images & Resolution. bilevel (black & white) e.g. faxes grayscale color

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Image compression

Image compression. Image Compression. Why? Reducing transportation times Reducing file size A two way event - compression and decompression. Compression categories. Compression = Image coding Still-image compression Compression of moving image. Point to Point. Interframe Processing.

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A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience (Wisden)

A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience (Wisden). Jeongyeup Paek. Krishna Chintalapudi, John Caffrey, Ramesh Govindan, Sami Masri. Overview. Introduction Wisden Overview Impact of Application Requirements on Design

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Augmenting Suffix Trees, with Applications

Augmenting Suffix Trees, with Applications. Yossi Matias, S. Muthukrishnan, Suleyman Cenk Sahinalp, Jacob Ziv. Presented by Genady Garber. Abstract. Theory of string algorithms play a fundamental role in Information retrieval Data compression

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Data Compression

Data Compression. How File Compression Works .

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CSE679: JPEG

CSE679: JPEG. JPEG goals JPEG compression steps Lab. JPEG Goals. JPEG: Joint Photographic Experts Group Applications can tune compression level Should have tractable computational complexity Should be possible to implement in hardware

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Bio-Image Acquisition and Processing Facilities, from Molecules to Brain

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A Unified Header Compression Framework for Low-Bandwidth Links

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File Formats

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Efficient Bitmap Indexing Techniques for Very Large Datasets

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Version Control and Subversion

Version Control and Subversion. Chris Coakley. Outline. What is Version Control? Why use it? Using Subversion (SVN). What is Version Control?. Alphabet Soup VCS, CVS, SVN, RCS A versioned backup system Restore project to a previous, working state A synchronized control system

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TMS320C6416

TMS320C6416. VLIW Architecture DSP. TMS320C6416. Manufactured in year 2000, Texas Instruments C6000 Series The fastest DSP of its time Other variants C6414, C6415. TMS320C6416. TMS320C6416. Maximum clock speed 720 MHz 1.39 ns instruction cycle time Eight 32-bit instruction per cycle

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General Philosophy of Table Driven Code Forms

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Images and the Web

web graphics. Images and the Web. web graphics: constraints. Due to the constraints imposed by varying degrees of Internet bandwidth, designing images for the WWW is largely a matter of striking an appropriate balance between image quality and file size.

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Advanced Graphics Course

Advanced Graphics Course. Credits: 3 Convener: James Gain Semester: First Structure: 1 introductory lecture 11 weekly double period reading group sessions (10 min introduction, 40 min presentation by 2-3 participants, 40 min group discussion) Course material:

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