The wavelet toolbox is an X/Motif-based system that provides wavelet-based functions suitable for grayscale images. The motivation for developing a wavelet toolbox is due to the desirable results often achieved by employing the wavelet transform technique in image processing applications. These applications include compression, fusion, denoising, image segmentation, and feature extraction. The toolbox currently supports decomposition, reconstruction, and fusion operations. Furthermore, the modularity of the system allows for the easy incorporation of additional image processing and preprocessing functions. In addition to the wavelet-based tools, file manipulation functions, such as opening, closing, and saving image files, are supported. The toolbox also provides a viewing facility for displaying original images and new ones generated from the decomposition, reconstruction, and fusion operations.
In the full report, an overview of wavelets is first presented to provide the reader with an understanding of the wavelet transform technique. Next, a discussion of multisensor fusion follows to demonstrate the usability of wavelets and to provide background information on an application that is implemented in the toolbox. The subsequent section describes the wavelet toolbox functionality, and is followed by a presentation of the multisensor image fusion tests conducted during the toolbox evaluation. The results of these tests are also summarized. Finally, the report ends with a discussion of possible future research.
Table of Contents | Section Contents -- Basic Research | Subsection Contents -- NASA Graduate Student Research Program Fellows