Abstract
The use of partial differential equation (PDE) based image processing algorithms for image sharpening and enhancement is discussed. An adaptive variation scheme that controls the level of denoising by local power constraints was developed. A mechanism based on the local power of the residue was also introduced to determine the desired adaptive constraints. The scheme can filter noise better than the scalar-fidelity term process of SNR over a variety of synthetic and natural images.
Original language | English |
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Pages (from-to) | 1-109 |
Number of pages | 109 |
Journal | Advances in Imaging and Electron Physics |
Volume | 136 |
DOIs | |
State | Published - 2005 |