Hilda Faraji

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In this work, 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 terms. This model becomes more complex in image brightness space (normal camera output) due to the nonlinearity of the camera(More)
We propose a denoising scheme to restore images degraded by CCD noise. Typically, restoration algorithms assume a linear mapping between the incident light space and image space. However, in practice, a camera response function performs a non-linear mapping on the sensor output and, as a result, the sensor noise model becomes more complex in the image(More)
For cameras mounted on a vehicle, the estimation of the vanishing point corresponding to the observed field of view is an important machine vision task necessary for a lot of applications, such as camera calibration and autonomous vehicle navigation. In this paper, a novel method for the estimation of the vanishing point corresponding to a particular camera(More)
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