Projects per year
Abstract
The Undecimated Dual Tree Complex Wavelet Transform (UDTCWT) is introduced together with its application to image denoising. The UDT-CWT extends the traditional DT-CWT using the methods of filter upsampling and the removal of downsampling developed for the Undecimated Discrete Wavelet Transform (UDWT). The UDTCWT results in a one-to-one relationship between co-located complex coefficients in all subbands and offers improved lower scale subband localisation together with improved directional selectivity (compared to the UDWT). These properties of the UDT-CWT have been exploited in the presented bivariate shrinkage denoising algorithm and gives quantitative improvements in the application to the denoising of images.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Image Processing, ICIP |
| Pages | 1205-1208 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2012 |
| Event | 2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United Kingdom Duration: 30 Sept 2012 → 3 Oct 2012 |
Conference
| Conference | 2012 19th IEEE International Conference on Image Processing, ICIP 2012 |
|---|---|
| Country/Territory | United Kingdom |
| City | Lake Buena Vista, FL |
| Period | 30/09/12 → 3/10/12 |
Keywords
- Discrete wavelet transforms
- Image denoising
Fingerprint
Dive into the research topics of 'The Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Scalable Information Fusion -Full
Bull, D. R. (Principal Investigator)
1/01/10 → 1/01/11
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver