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
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2014.2326772
