Abstract
Wavelet is a well-known noise reduction tool for its several nice properties. Since it is a kind of the transform domain, thresholding in the wavelet domain can cause problems at the neighborhood of discontinuous points, seen as ringing artifact in 2-D image. In the low-bit rate network and the heavy error-prone environment, it is a serious problem for an end-user. In this paper, we propose an efficient ringing reduction algorithm based on the standard wavelet decomposition. Since its structure is the reverse of the wavelet denoising method, our algorithm has advantages about computation load and memory efficiency over other ringing reduction filters. Experimental results show that the proposed algorithm reduces ringing along the edge dramatically.
| Original language | English |
|---|---|
| Pages (from-to) | III233-III236 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| Publication status | Published - 2004 |
| Event | Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: 2004 May 17 → 2004 May 21 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering