efficient tool for image compression, Wavelet transform gives multiresolution image decomposition. which can .be exploited through vector quantization to achieve high compression ratio. For vector quantization of wavelet coefficients vectors are formed by either coefficients at same level, different location or different level, same location. This paper compares the two methods and shows that because of wavelet properties, vector quantization can still improve compression results by coding only important
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
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
structures by the kirigami technical, and the compressive testing of this specimen. The cellular configuration is simulated using a series of finite element models representing fullscale. The models are benchmarked against experimental results from pure compression tests. Finite element models of the honeycomb assemblies under compressive loading have been developed using nonlinear shell elements from an ANSYS code. Good agreement is observed between numerical nonlinear simulations and the experimental results
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
blurring of fine-scaled image edges and details because they also correspond to blocked high frequencies. Image compression Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossy methods are especially suitable for natural images such as photographs in applications. Salt-and-pepper Noise
Application of graphics Backgrounds A good background should have a consistent colour scheme which is eye-catching without being overpowering to your eyes. So depending on the style of site should use block colours this will give the website a sleek but simple look. But depending on the purpose of a site the background colours etc. can vary e.g. if a background was for a childrens sight it may be colourful or a car site may be a steely grey if it was intended to sell sports cars e.g. an Aston Martin
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
usually use for photos that you have taken on a digital camera which are for example JPEG files(13). Lossless Lossless is a type of compression, when the file is compressed the quality still stays the same when the file is reloaded and all the information will be restored completely. This method of compressing files can be applied to image and text. This method of compression is mostly used for text and
INTRODUCTION Some people suffer severe motor impairments cannot express their thoughts as healthy for assistance of patients and can be controlled by user alone. It uses EEG signals as input and produces output signals in the form of inverse DWT. Communication system between human brain and computer is called BCI. This enables generation of control signals from brain signals, such as sensory motor rhythms and evoked potentials, therefore persons, because they are not capable