Image processing reveals both large objects and details

PhD student Gemma Piella has developed a technique that shows large objects and small details in the same image. Normally, the amount of detail in a picture depends on its scale. For example, from a distance a forest looks like a green surface. When approaching, more details like trees, branches or even individual leaves appear, but you lose sight of the bigger picture. To solve this problem, Piella modified the wavelet transformation image processing technique. The resulting transformation retains both small and large elements by utilizing geometric information.

Publication date: 14-11-2003

PhD student Gemma Piella has developed a technique that shows large objects and small details in the same image. Normally, the amount of detail in a picture depends on its scale. For example, from a distance a forest looks like a green surface. When approaching, more details like trees, branches or even individual leaves appear, but you lose sight of the bigger picture. To solve this problem, Piella modified the wavelet transformation image processing technique. The resulting transformation retains both small and large elements by utilizing geometric information. Furthermore, she studied the application of these transformations to sensor fusion. By combining signals from different sensors, for example CT- and MRI-scans in health care, she obtained clearer images.
Piella's research was conducted at CWI, in the Images and Signals theme (PNA4). The project was funded by the Dutch Technology Foundation STW. She obtained her degree on October 30, 2003.