TY - GEN
T1 - Operational capability and suitability of image compression methods for different applications
AU - Safari, Azadeh
AU - Bentley, Fujimi
AU - Kong, Yinan
PY - 2014/9/17
Y1 - 2014/9/17
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84908428563&partnerID=8YFLogxK
U2 - 10.1109/CCECE.2014.6901064
DO - 10.1109/CCECE.2014.6901064
M3 - Conference proceeding contribution
AN - SCOPUS:84908428563
T3 - Canadian Conference on Electrical and Computer Engineering
SP - 1
EP - 6
BT - Canadian Conference on Electrical and Computer Engineering
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
Y2 - 4 May 2014 through 7 May 2014
ER -