The full text of this article/chapter:

Non-Separable 2-D and 3-D Discrete Wavelet Transform for Image and Video Processing Using Lifting Scheme
by Safar Hatami, Shervin Sharifi, Mahmoud Kamarei, Hossein Ahmadi, Ahdiyeh Delfan Abazari
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: In this paper, lifting based Non-Separable 2D and 3D Discrete Wavelet Transform (DWT) is presented. Under the proposed lifting scheme with non-separable filters, several advantages are gained particularly in hardware implementation. The proposed algorithm results in a significant reduction in the number of computations as compared with convolution-based non-separable wavelet transform. This approach does not require any transposition and has a better SNR with a narrower bus bandwidth. It is compatible with applications requiring 2D scanning such as vector quantization. In addition to eliminating the transposition stage, it has a lower latency. Another attractive characteristic of lifting scheme with non-separable discrete wavelet transform is the simultaneous generation of all of four subband coefficients, approximations, diagonal details, vertical details, and horizontal details.

is only available to individual subscribers or to users at subscribing institutions.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is US$38.00

Members of the Editorial Board or subscribers of the 12th International Workshop on Systems, Signals and Image Processing (IWSSIP), that have been redirected here, please click here if you have IP-authentication access, or check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?