Monday, October 5, 2009. Activity 19 Restoration of blurred image. Whatever the degradation process maybe, it can always be modeled as a convolution of the image and the degradation function such that in inverse space we obtained a blurred image given by.

Thursday, September 24, 2009. Activity 19 - Restoration of Blurred Image. This last activity is about demonstration of restoration of a corrupted grayscale image with a known degradation function which in this case is motion blur and additive noise using Weiner filtering. The following schematic diagram is a model of the image degradation and restoration process.

On pics, physics, and more! Thursday, October 7, 2010. October is Breast cancer month and women posting these updates want to show their support. Lessons from drinking sessions part 2.

Monday, October 12, 2009. Activity 19 - Restoration of Blurred Image. The uniform linear motion causing this blurring can help model and provide a basis of removing motion blur in images. Is the object image, and g. Is the blurred image, the blurring is attributed to a uniform linear motion along x and y, namely x o. Where G and F represents the Fourier transform of the blurred and original image. H is the motion blur transfer function, with x o. Using the description of the motion bl.

Sunday, October 11, 2009. In this activity, we restore a motion blurred image with Gaussian noise using a Weiner filter and a pseudo Weiner filter. In the Fourier space, the degraded image is given by. Where G is the degraded image, F is the original image, N is the noise, H is the transfer function given by. Where T is the duration of exposure, a and b represents displacements along u and v respectively. Where K is a constant.