| EPSRC Reference: |
GR/R01460/01 |
| Title: |
Nonlinear Indedpendant Component Analysis and Application To Practical Image/Video Noise Reduction |
| Principal Investigator: |
Yin, Professor H |
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| Department: |
Electrical Engineering & Electronics |
| Organisation: |
UMIST |
| Scheme: |
Fast Stream |
| Starts: |
15 January 2001 |
Ends: |
14 July 2002 |
Value (£): |
59,684
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Summary on Grant Application Form |
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ICA opens up a new signal decomposition method. It attempts to discover from observed signals a set of unobserved and underlying sources that are as statistically independent as possible. It is an extension of PCA. Most exciting methods, however, use linear mixtures and do not extend to general and practical problems. The project is to develop non-linear ICA.Improving image quality has become increasingly important with the rapid growth of transmitted digital media. Various filtering theories such as median, wiener and stack filters, have been established to combat noise or corruption. Most of these operations are linear and either low-pass or band-pass. They likely suffer from blurring the image thus do not always produce satisfactory solutions in many real-world applications.The project will address degradations caused by poor illumination quality and noisy environments or transmission channels. Non-linear mixture models can take into account such blurring effects as an element of an imperfect acquisition system. The project will be exploited in association with our external collaborators to promote the application of emergent technologies to real-world tasks. Of particular interest are optimum restoration low-level intensified (and emerging electron-bombarded CCD technology) images and low bandwidth night and infra-red surveillance video.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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