Image denoising with directional bases
Park, Heechan, Martin, Graham R. and Yao, Zhen (2007) Image denoising with directional bases. In: IEEE International Conference on Image Processing (ICIP 2007), San Antonio, TX, SEP 16-19, 2007. Published in: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 pp. 301-304.Full text not available from this repository.
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is used to capture significant structural information. This paper presents an empirical study of image denoising with directional bases. We consider two distinct approaches. One involves the Multi-resolution Fourier Transform (MFT) facilitated with a multi-directional selective filter. The other is based on statistics, Independent Component Analysis (ICA) that adaptively decomposes an image into a set of directional bases. We then present a combined approach that benefits from the computational efficiency of the MFT and the data adaptiveness of ICA. Experimental results are compared with those from other recent directional transforms such as the Curvelet and Directional cosine transform.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||T Technology > TR Photography|
|Series Name:||IEEE International Conference on Image Processing (ICIP)|
|Journal or Publication Title:||2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7|
|Number of Pages:||4|
|Page Range:||pp. 301-304|
|Title of Event:||IEEE International Conference on Image Processing (ICIP 2007)|
|Location of Event:||San Antonio, TX|
|Date(s) of Event:||SEP 16-19, 2007|
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