Operational capability and suitability of image compression methods for different applications

Azadeh Safari*, Fujimi Bentley, Yinan Kong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Image compression is one of the most widely used groups of signal processing schemes in real-time applications. There are various algorithms for compressing images, each with pros and cons. Each method of data compression behaves differently for various types of data, thus a review of the common image algorithms seems necessary to compare the compression ratio, compression and decompression time, and generated file sizes. This paper aims to provide an insight into the characteristics of commonly used image-compression algorithms. Each algorithm is tested with controlled test images to determine the operational capabilities of each algorithm for different test cases. Subsequently, the performance of each algorithm is simulated and compared with other methods. Discussions on how algorithms behave with various test images are given in detail. The desired outcome of this study is a clear description of compression algorithms, and determining the suitability of each algorithm for different applications.

Original languageEnglish
Title of host publicationCanadian Conference on Electrical and Computer Engineering
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781479930999
DOIs
Publication statusPublished - 17 Sep 2014
Event2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada
Duration: 4 May 20147 May 2014

Publication series

NameCanadian Conference on Electrical and Computer Engineering
PublisherIEEE
ISSN (Print)0840-7789

Other

Other2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
CountryCanada
CityToronto
Period4/05/147/05/14

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