An Improved EZW Algorithm and Its Application in Intelligent Transportation Systems Academic Article

abstract

• A large number of digital images are produced during the acquisition of video signals at signalized intersection in an intelligent transportation system. Because of limited storage space and transmission bandwidth, the signals must be compressed effectively to satisfy application requirements in real time. We propose an improved Embedded Zerotree Wavelet algorithm to improve the wavelet compression performance by adopting image pretreatment, introducing dynamic threshold and adding new symbols. The experimental results show that the proposed algorithm improves both the effectiveness of data compression and its efficiency and so is well suited for real-time image acquisition, storage and transmission at signalized intersections.

authors

• Bettati, Riccardo

published proceedings

• ENGINEERING LETTERS

author list (cited authors)

• Wan, G., Song, X., & Bettati, R.

complete list of authors

• Wan, Genshun||Song, Xuehua||Bettati, Riccardo

publication date

• May 2014

published in

• Engineering Letters  Journal

keywords

• Embedded Zerotree Wavelet (ezw)
• Image Compression
• Intelligent Transportation

start page

• 63

end page

• 69

volume

• 22

issue

• 2