A Survey on Lossless and Lossy Data Compression Methods

Abstract

Compression is built into a broad range of technologies like storage systems, databases operating systems and software applications. It refers to the process of reducing the quantity of data used to represent the content without excessively reducing the quality of the original data. Their main purpose is to reduce the number of bits required to store and/or transmit digital media in cost effective manner. There are number of data compression techniques used and they can be categorized as Lossless and Lossy compression methods. In this paper we made an attempted to discuss about some of the general concepts of compression algorithm using Lossless and Lossy methods of compression.

Authors and Affiliations

P. KAVITHA

Keywords

Related Articles

Alternative System for Data Communication based on Organic Devices and Links for Local Area Network

Organic devices and links offer considerable potential for data communication by virtue of their ability to transmit, modulate and detect light in an architecture that is low cost, flexible, lightweight and robust. Here...

Brain Cancer Classification Using GLCM Based Feature Extraction in Artificial Neural Network

Brain tumor is one of the major reasons of death among people. It is indication that the chances of survival can be greater than before if the tumor is detected correctly at its early stage. This paper classifies the typ...

A Review on Routing Protocols in Wireless Sensor Network 

In wireless sensor network, Routing is the process by which the data gathered by sensors is relayed towards the end user (usually termed as sink).A lot of routing protocols have been developed since now and these protoco...

Handwritten Character Recognition with Feedback Neural Network

The ability of a machine to interpret handwritten characters from sources like paper document, photograph, etc. to some editable computerized form is the first and foremost aim of handwritten character recognition system...

Rule Based Exception Handling and Priority Modeling For Diabetes Management Using Ontology and SWRL

Increase treatment quality is the most challenging task because clinical status of the patient and circumstances inside a healthcare organization constantly change. In this paper we present a Rule based Exception handlin...

Download PDF file
  • EP ID EP101719
  • DOI -
  • Views 148
  • Downloads 0

How To Cite

P. KAVITHA (2016). A Survey on Lossless and Lossy Data Compression Methods. International Journal of Computer Science & Engineering Technology, 7(3), 110-114. https://europub.co.uk/articles/-A-101719