DocumentCode
23905
Title
Energy Preserving QMF for Image Processing
Author
Jian-Ao Lian ; Yonghui Wang
Author_Institution
Dept. of Math., Prairie View A&M Univ., Prairie View, TX, USA
Volume
23
Issue
7
fYear
2014
fDate
Jul-14
Firstpage
3166
Lastpage
3178
Abstract
Implementation of new biorthogonal filter banks (BFB) for image compression and denoising is performed, using test images with diversified characteristics. These new BFB´s are linear-phase, have odd lengths, and with a critical feature, namely, the filters preserve signal energy very well. Experimental results show that the proposed filter banks demonstrate promising performance improvement over the filter banks of those widely used in the image processing area, such as the CDF 9/7.
Keywords
channel bank filters; data compression; discrete cosine transforms; filtering theory; image coding; image denoising; biorthogonal filter banks; discrete cosine transform; energy preserving QMF; image compression; image denoising; image processing; linear-phase; odd lengths; performance improvement; Energy resolution; Image coding; Image edge detection; Image resolution; Signal resolution; Wavelet transforms; Biorthogonality; energy preservation; image compression; image denoising; orthogonality;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2014.2326772
Filename
6822639
Link To Document