DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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Generic Data Compression Techniques Data compression schemes fall into two categories. Some are lossless‚ others are lossy. Lossless schemes are those that do not lose information in the compression process. Lossy schemes are those that may lead to the loss of information. Lossy techniques provide more compression than lossless ones and are therefore popular in settings in which minor errors can be tolerated‚ as in the case of images and audio. In cases where the data being compressed consist
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Table of Contents Introduction………………………………………………………………………..…………………………….…2 1.Data Compression……………………………………..………………………………………………………2 1.1Classification of Compression……………………………………………………………………...2 1.2 Data Compression methods…………………………………………..……………………………3 2. Lossless Compression Algorithm……………..……………………………………………………….4 2.1 Run-Length Encoding……………………..…………………………….……………………………4 2.1.1 Algorithm……………………………..………………………………………………………………….5 2.1.2Complexity ……………………………..………………………………
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"Data Compression and Data Processing” Please respond to the following: * Explain whether or not you believe there is a discernible difference in efficiency between compressing and decompressing audio data and compressing and decompressing image data. Provide at least three reasons for your argument. There are efficiency differences between a given compressions for audio or image‚ this is due to: 1. The difference in data‚ example bmp‚ jpg‚ gif of the same image‚ mp3‚ wav‚ ogg for
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Module 6 STILL IMAGE COMPRESSION STANDARDS Version 2 ECE IIT‚ Kharagpur Lesson 16 Still Image Compression Standards: JBIG and JPEG Version 2 ECE IIT‚ Kharagpur Instructional Objectives At the end of this lesson‚ the students should be able to: 1. Explain the need for standardization in image transmission and reception. 2. Name the coding standards for fax and bi-level images and state their characteristics. 3. Present the block diagrams of JPEG encoder and decoder. 4. Describe
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Multimedia Compression techniques 4.0 Introduction In this unit we are discussing about the data compression which is very important for multimedia applications because uncompressed graphics‚ audio‚ and video data require considerable storage capacity. Compressing a data file reduces its size‚ and hence it can be easily transferred over the digital network. The amount of compression depends on the compression method and compression rate. The terms compression
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ABSTRACT The requirement that no information be lost in the compression process puts a limit on the amount of compression we can obtain. The lowest number of bits per sample is the entropy of the source. This is a quantity over which we generally have no control. In many applications this requirement of no loss is excessive. For example‚ there is high frequency information in an image which cannot be perceived by the human visual system. It makes no sense to preserve this information for images
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Compression Assignment Kanwar Ahmad Mustafa Department Of Electronics and Communication The University of Lahore 1-Km Thokar Raiwand Road Lahore‚ Pakistan punjabians50@hotmail.com Abstract—Signal compression is concern with the reduction of amount of data i.e.‚ efficient transmission speed of data can be achieved. Redundant data is removed in compression and added during decompression. It includes different techniques which help to get the job done. These techniques include Lossless and
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Speech Compression Using Wavelets Team Members: Deepak Kumar‚ 3rd B-tech‚ E.C.E Branch‚ JNTU College of Engineering‚ Kakinada. E-Mail: deepakjntu427@yahoo.com Ch. Naresh Kumar‚ 3rd B-Tech‚ E.C.E Branch‚ JNTU College of Engineering‚ Kakinada. ABSTRACT Speech compression is the technology of converting human speech into an efficiently encoded representation that can later be decoded to produce a close approximation of the original signal. The wavelet transform of a signal decomposes
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Greedy Based Approach to Test Data Compression using Geometric Shapes ABSTRACT Systems-on-a-chip (SOC) are comprised of a collection of pre-designed and preverified cores and user defined logic (UDL). As the complexity of systems-on-a-chip continues to increase‚ the difficulty and cost of testing such chips is increasing rapidly. One of the challenges in testing SOC is dealing with the large size of test data that must be stored in the tester and transferred between the tester and the chip. The
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