ManageChatDiscover
129962

Lossless Image Compression Using Wavelet and Vector Quantization.

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

Electrical Engineering

Abstract

 In this paper, we propose a new low bit rate scheme that combines the Discrete Wavelet transform (IWT) and Vector Quantization (VQ) for image compression with high Compression Ratio (CR) in order to achieve acceptable quality of output images, Image compression using the combination of DWT willy VQ has been considered in many recent works; here in our paper the DWT was performed on several gray scale standard images, each of (256X256) byte. We used 4 images as the training images of the train VO using LBG algorithm and got the final optimal codebook. Then we used another two images to compare our output image with JPEG 2000 standard winch based on Wavelet and Scalar quantization. Our proposed system used a VO codebook with Variable cod hook size and dimensions were used to compress wavelet Transform) coefficients resulting using Danny wavelet types. Our pro system is slowed so that the best Wavelet types that you can use for compression is COIF 2. Our proposed system gave better PSNR than G2000 standard at high (CR), above than (5L), and this achieved a VQ codebook size (1024 -512) with dimension equal to 256. In the paper a typical system for the application of image compression system and new scientific results are present. 

DOI

10.21608/bfemu.2020.129962

Keywords

Vector Quantization (VQ), Scalar Quantization (SQ), Data compression, subband coding. Compression Ratio (CR) and discrete wavelet transform (DHT)

Authors

First Name

M.

Last Name

Helal

MiddleName

M.

Affiliation

Computer and System Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt

Email

engmmhelal@yahoo.com

City

Mansoura

Orcid

-

First Name

Sabry

Last Name

Saraya

MiddleName

Fouad

Affiliation

computer and System Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt

Email

drsfsaraya@mans.edu.eg

City

Mansoura

Orcid

-

First Name

S.

Last Name

El-Taweel

MiddleName

-

Affiliation

National Telecommunication Institute (NTI) Ministry of Communication and information Technology (MCTT) ST. Mahmoud El Melegy branched El Mokhayem El Doem St. Nasr City, Cairo, Egypt

Email

eltaweelsalah@yahoo.com

City

-

Orcid

-

Volume

31

Article Issue

3

Related Issue

19224

Issue Date

2006-09-01

Receive Date

2006-06-11

Publish Date

2020-12-15

Page Start

8

Page End

17

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 31_Issue 3_Pages 8-17.pdf

PDF . 490.0kB

Link

https://bfemu.journals.ekb.eg/article_129962.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=129962

Order

3

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Lossless Image Compression Using Wavelet and Vector Quantization.

Details

Type

Article

Created At

22 Jan 2023