Abstract
The goal of image restoration is to eliminate noise and insignificant details from a blurred or noise-affected image, without blurring important semantic structures such as edges. In this paper, we propose a new approach based on partial differential equations (PDEs) by adjusting the threshold when iteration proceeds, and a new gradient model based on the idea of bilateral filtering, which can retain more visual details than other methods. With this new approach, the noise can be removed efficiently while preserving important semantic structures such as edges.
Original language | English |
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Title of host publication | 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings |
Pages | 4165-4168 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 1 Dec 2010 |
Event | 2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong Duration: 26 Sept 2010 → 29 Sept 2010 |
Conference
Conference | 2010 17th IEEE International Conference on Image Processing, ICIP 2010 |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 26/09/10 → 29/09/10 |
Keywords
- Image processing
- Image restoration
- PDE
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing