Image fusion of multidirectional wavelet transforms for image denoising
Image denoising in the wavelet domain has been attractive to researchers in the past decade due to its suitable properties which lead to a smooth denoised image. However, limitations in edge representation have been found particularly with diagonal edges which may be destroyed in the denoising proce...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2014
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/10822 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | Image denoising in the wavelet domain has been attractive to researchers in the past decade due to its suitable properties which lead to a smooth denoised image. However, limitations in edge representation have been found particularly with diagonal edges which may be destroyed in the denoising process. Direction-sensitive variants of the transform have been proposed by various researchers but they are often computationally expensive and difficult to implement in an actual system. This work presents a direction-sensitive technique of denoising based on a reversible rotation process combined with a simple discrete wavelet transform and image fusion methods. Test results on the said methods show significant gains over the traditional wavelet denoising process. Additionally, the simple and non-adaptive nature of the process makes it attractive for software and hardware implementation. |
|---|