International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : Analysis and Implementation of Lossless Image Compression for Various Formatting Images

Authors:T.Vaitheeswari || Dr.R.Shenbagavalli, M.Revathi

Abstract:Digital image compression is a method of image data reduction to save storage space. Image compression is the process of reducing the size of the image that will enhance images sharing, image transmission and easy storage of the image. There are two types of image compression techniques. In Lossy compression, the compressed image is not equal to the original image; it means the quality of compressed image is less than the original image. In Lossless compression the compressed image is exactly equal to the original image. In this work, the analysis of different format of images have been implemented using the Lossless image compression techniques such as Huffman coding, EZW and SPIHT. Huffman encoding technique basically works on the rule of probability distribution. The principle is to reduce the size of the image by removing redundancies. Less number of bits is used to encode the image. Huffman encoding method is used in JPEG image. Set partitioning in hierarchical trees (SPIHT) is a waveletbased image compression technique. It gives good image compression ratios and image quality. EZW method is based on progressive encoding to compress an image. Experimental result was carried out on four types of image format such as .bmp, .jpg, .png, .tif. The Performance metrics such as Peak signal-to-noise ratio (PSNR), Compression Ratio (CR), Mean square error (MSE), Bits per pixel (BPP) were measured for each format of images.

Keywords: Image Compression Techniques, Huffman coding, SPHIT, EZW, PSNR, MSE, BPP

Download Paper

DOI: 01.1617/vol5/iss3/pid12936

Related Articles

Wormhole Attack Prevention and Detection Approaches in Mobile Ad hoc Networks: A Survey.

Authors: Avinash Singh || Ram Singar Verma

Doi : 01.1617/vol4/iss03/pid34591

Volume4 ,March 2018.

Developing a GIS Platform for Tourism marketing and promotion In Nigeria: Case Study Of Bauchi State

Authors: Abubakar Siddiq Ango || Abdulsalam Waheed Abdulfatah, Idrissa Djibo

Doi : 01.1617/vol3/iss09/pid91783

Volume3 ,September 2018.

Decentralized Trust Management and Trust Worthiness of Cloud Environments

Authors: Qhubaib Syed || Syed Afzal Ahmed,Syed Abdul Haq

Doi : 01.1617/vol4/iss4/pid21386

Volume4 ,April 2018.

Brain Controlled Chess Based on Virtual Reality Control for Paralyzed Patients

Authors: Sindhura Rao || Ashwini S,Kusuma Mohanchandra

Doi : 01.1617/vol4/iss4/pid82074

Volume4 ,April 2018.

Multilevel Authentication System

Authors: Nichita Silva Lobo || Beverly Rodrigues,Pavni Alluri,Prathibha Singh,Nicole Alvares

Doi : 01.1617/vol4/iss4/pid82135

Volume4 ,April 2018.

Stock Prediction Using Clustering And Regression Techniques

Authors: Shalini Lotlikar || Megha Ainapurkar

Doi : 01.1617/vol4/iss4/pid39708

Volume4 ,April 2018.

Brain Tumor Detection using Image Segmentation

Authors: Siddhi N. Nerurkar ||

Doi : 01.1617/vol4/iss4/pid02845

Volume4 ,April 2018.

Video Mining using Query by Example

Authors: Rosebud Valadares ||

Doi : 01.1617/vol4/iss4/pid89542

Volume4 ,April 2018.

Fuzzy Opinion Mining for Product Recommender System

Authors: Aarti Bandodker ||

Doi : 01.1617/vol4/iss4/pid03652

Volume4 ,April 2018.

Aadhaar and Server based Electoral system

Authors: Yugansh Garg || Sakshi Mishra

Doi : 01.1617/vol4/iss4/pid69053

Volume4 ,April 2018.


Call for Papers


Editor Image

Dr. Allon Guez
Professor, Drexel University,

View more



Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact :