In this paper we devise a penalty likelihood with noise constraints method to restore 2D and 3D confocal microscope images. Regularization is a commonly used technique in image restoration to balance restored image quality and noise suppression, but despite this noise is usually amplified. Taking in
Adaptive image-processing technique and effective visualization of confocal microscopy images
β Scribed by Yinlong Sun; Bartek Rajwa; J. Paul Robinson
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 554 KB
- Volume
- 64
- Category
- Article
- ISSN
- 1059-910X
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β¦ Synopsis
Abstract
A common observation about confocal microscopy images is that lower image stacks have lower voxel intensities and are usually blurred in comparison with the upper ones. The key reasons are light absorption and scattering by the objects and particles in the volume through which light passes. This report proposes a new technique to reduce such noise impacts in terms of an adaptive intensity compensation and structural sharpening algorithm. With these imageβprocessing procedures, effective 3D rendering techniques can be applied to faithfully visualize confocal microscopy data. Microsc. Res. Tech. 64:156β163, 2004. Β© 2004 WileyβLiss, Inc.
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