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Lossy Image Compression Techniques

by N. Annalakshmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 20
Year of Publication: 2021
Authors: N. Annalakshmi
10.5120/ijca2021921558

N. Annalakshmi . Lossy Image Compression Techniques. International Journal of Computer Applications. 183, 20 ( Aug 2021), 30-34. DOI=10.5120/ijca2021921558

@article{ 10.5120/ijca2021921558,
author = { N. Annalakshmi },
title = { Lossy Image Compression Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2021 },
volume = { 183 },
number = { 20 },
month = { Aug },
year = { 2021 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number20/32041-2021921558/ },
doi = { 10.5120/ijca2021921558 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:17:20.884104+05:30
%A N. Annalakshmi
%T Lossy Image Compression Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 20
%P 30-34
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, domain image processing plays a most significant role in real-time applications. Due to reserved bandwidth and capacity, images are needed to be compressed, enhance, and noise-free to reduce the storage space as well as the transmission time. Compression overcomes the problem such as insufficient bandwidth of network and storage of memory device. Nowadays, many techniques are used to compress an image with a good quality. This paper discussed about the concept of image compression and reviews the techniques which are used in lossy image compression. This technique losses some data by using transform codes. Two codes are used to compress an image such as wavelet and fractal. The techniques scalar and vector quantization are used to quantize an input and partition into sub-images. And also it discussed about the 2D-Discrete wavelet transform codes with examples which were done by Matlab software.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Continuous wavelet discrete wavelet scalar vector fractal

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