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Monday, October 12, 2009. ACTIVITY 19 - Restoration of Blurred Image. This activity is a demonstration on how to restore an image which is corrupted with a known degradation function such as motion blur and additive noise. The image degradation and restoration process can be modeled by the diagram shown below.
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.
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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.
Monday, October 12, 2009. ACTIVITY 19 Restoration of Blurred Image. The following are the investigations I did in relation to the degradation and restoration of the image shown in Figure 1.
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This web page jaysamuel-ap186.blogspot.com states the following, "Ask and it will be given." We saw that the webpage said " Activity 19 - Restoration of blurred image." It also said " Friday, October 9, 2009. Activity 19 - Restoration of blurred image. In this activity, we are tasked to perform restoration algorithm to motion blurred images with additive noise. Degradation process is modeled as a degradation function see figure below, together with an additive noise, applied to an input image. The blurring process is taken as the convolution of the degradation function h."SEEK SIMILAR DOMAINS
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