Light space adaptive removal of CCD noise in digital images.
Published: 2004
Language: eng
Number of pages: 109
Description: In this thesis, we propose a denoising scheme to restore images degraded by CCD noise. The CCD noise model, measured in the space of incident light values (light space), is a combination of signal-independent and signal-dependent noise regions. This model becomes more complex in image brightness space (normal camera output) due to the nonlinearity of the camera response function that transforms image data from light space to image space. We develop two adaptive restoration techniques, both accounting for this nonlinearity. One operates in light space, where the relationship between the incident light and light space values is linear, while the second method uses the image space noise model to operate in image space. Both techniques apply multiple adaptive filters and merge their outputs to give the final restored image. Experimental results suggest that light space denoising is more efficient, since it enables the design of a simpler algorithm.
Notes: Adviser:  James MacLean.

Thesis (M.A.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2287.

MICR copy on microfiche (2 microfiches).