System and method for image regularization in inhomogeneous environments using clustering in neural networks
US5978505A · kind A · utility
Assignees
Inventors
Key dates
| Filing date | Mar 13, 1997 |
| Grant date | Nov 2, 1999 |
| Priority date | — |
| Expiry date | Mar 13, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T5/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A regularization system and method for image restoration in homogeneous or inhomogeneous environments. The system and method includes features similar to a neural network with intermediate levels of structure including a pixel having processing capabilities; clusters consisting of a plurality of interconnected pixels and also having processing capabilities; and an image space comprised of a plurality of interconnected pixels and clusters and also having processing capabilities. The system and method also include means for assigning a regularization parameter to each pixel depending on the local variance of intensity of pixels; decomposing the image space into clusters of pixels, each cluster having the same regularization parameter; imposing a blurring function on each pixel; rapidly forming a regularized image by simultaneous local and global encoding of a regularization matrix onto each pixel directed through a process of gradient energy decent; and a means of assessing the output image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.