Compression

1. INTRODUCTION COMPRESSION • What is compression? Data compression is the method of reducing the number of bits to store or transmit the data. It reduces the size of data to save storage space or speed transmission. Cost is aldo decreased for storage and network bandwidth. Compression is performed by a program that uses an algorithm on how to shrink the size of the data. For data transmission, compression can be performed on the data content or on the entire transmission unit.. When information

INTRODUCTION 1.1 What Is Compression Technology ? Compression is representation of data in a compact form. Compression of data, bit rate reduction or source coding involves encoding of data using fewer number of bits. Compression are of two types lossy and lossless. Lossless compression removes such data bits whose removal does not affects the information of the data on the other hand no information losses takes place in lossless compression. Lossy compression reduces bits by finding unnecessary

Data Compression I. Introduction In the modern era known as the “Information Age,” forms of electronic information are steadily becoming more important. Unfortunately, maintenance of data requires valuable resources in storage and transmission, as even the presence of information in storage re-quires some power. However, some of the largest files are those that are in formats re-plete with repetition, and thus are larger than they need to be. The study of data compres-sion is the science which

HOMOGENEOUS CHARGE COMPRESSION IGNITION ENGINES ABSTRACT In the world of depleting fossil fuels and increasing pollution, achieving fuel efficiency and reducing the emissions are the main tasks set by the automotive companies. Low temperature combustion (LTC) engine is the emerging engine technology that produce less emissions and high fuel efficiency than the spark ignition and compression ignition engines. Homogeneous charge compression ignition (HCCI) engine is one of the LTC engines which uses

In this paper, we proposed an effective system for lossless image compression using different wavelet transform such as the stationary wavelet transform, the non decimated wavelet transform, and discrete wavelet transform with delta encoding and compare the results without delta encoding. With the development in the field of networking in the process of sending and receiving files needed to effective techniques for image compression as the raw images required large amounts of disk space to defect

other words an optimal compression ratio should be chosen so as to suit the needs of medical examination, without compromising with its diagnostic value [2]. 1.2 Types of Compression Image compression can be classified into two types viz. lossless and lossy compression. Lossless compression is the technique of reducing the size of an image without any virtual loss of information. It is also known as reversible form of image compression since the image obtained after compression and then decompression

Estimation of Robust Standard by using Compression Sensing Data in Wireless Sensor Network Brindha.M1and Prabaharan.P2 1Department of CSE, Vivekanandha College of Engineering for Women, brindhadass90@gmailcom 2Department of CSE, Vivekanandha College of Engineering for Women, kpra8897 @gmail.com Abstract— Wireless sensor networks (WSNs) is the collection of physical measurements in a geographical area. It tracks the spatial-average of the sensor measurements in a region

complexities. These techniques have some defaults, So proposed technique is to overcome all the defaults and performed well compare to above techniques. The aim of this correspondence is to introduce a new low-complexity DCT approximation for image compression in conjunction with a

BASED IMAGE COMPRESSION USING DCT AND DWT TECHNIQUE Abstract: Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are the most known methods used in digital image compression. Wavelet transform has better efficiency compared to Fourier transform because it describe any type of signals both in time and frequency domain simultaneously. In this paper, we will discuss the use of Discrete Cosine Transform (DCT) and Discrete wavelet transformation (DWT) based Image compression Algorithmand

Image Compression Using Hybrid SVD-WDR and SVD-ASWDR: A comparative analysis Kanchan Bala (Research Scholar) Computer Science andEngineering Dept. Punjab Technical University Jalandhar, India kanchukashyap@gmail.com Er. Deepinder Kaur (Assistant professor) Computer Science and Engineering Dept. Punjab Technical University Jalandhar, India deepinderkaur.bhullar@gmail.com Abstract---In this paper new image compression techniques are presented by using existing techniques such as Singular value