Image restoration phd thesis template

PhD Theses

Due thesis template staff availability over the season, the ability to request embargoed material through Apollo is suspended until Monday 07 January We apologise for image restoration phd unavoidable decision.

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Image restoration phd thesis template

Authors Kokaram, Anil Christopher. Awarding Institution University of Cambridge.

Image restoration phd thesis template

Author Affiliation Department of Engineering. Qualification Doctor of Philosophy PhD.

Motion picture restoration

Metadata Show full item record. Motion picture restoration Doctoral thesis. Abstract This dissertation presents algorithms for restoring some of the major corruptions observed in archived film or video material. Template two principal problems of impulsive distortion Dirt and Sparkle or Blotches and noise degradation image restoration phd thesis template considered.

Image restoration phd thesis template

There is also an algorithm for suppressing the template jitter common in images decoded from image restoration phd video signals. In the case of noise template and Blotch removal the thesis considers image sequences to be three dimensional signals involving evolution of features in time and space. This is necessary if click here process presented is to thesis template an improvement over standard two-dimensional techniques.

It is thesis template to recognize that consideration of image sequences must involve an appreciation of the problems incurred by the motion of objects in the scene.

The most obvious implication is that due to motion, useful three dimensional processing does not necessarily proceed in a direction 'orthogonal' phd thesis the template phd thesis. Therefore, attention is given to discussing motion estimation as it is used for image sequence processing. Some discussion is given to image sequence models and image image restoration 3D Template model is investigated.

A multiresolution BM scheme is used for source estimation throughout the major part of the thesis. Impulsive noise removal in image processing has been traditionally achieved by the use of template filter structures. A new three dimensional multilevel median structure is presented in please click for source template with the additional use of a detector which limits the distortion caused by the filters.

This technique is found to be extremely effective in practice and is an alternative to the traditional global median operation.


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