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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.
Wednesday, September 23, 2009. A grayscale image were selected and processed using Scilab. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1.
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.
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.
Wednesday, July 13, 2011. Just some random thoughts from a very lazy evening. I remember the time when I last spoke about this. Friday, June 17, 2011. And so my day ended very happily! I know God will not let things happen without lessons to be learned. I will always trust in You Lord.
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.
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Sunday, January 24, 2010. 3D imaging is of vast importance in many fields such as biomedicine, computer vision and other industrial applications. There are different ways of obtaining the three-dimensional reconstruction of an object. These include stereo imaging, structured illumination, photometric stereo and structure from motion. Among all these methods, stereo imaging can be classified as the primary technique from where some of these methods are based. Figure 1 Model of stereo imaging. The equatio.CONTENT
This web page kookayespixelatedworld.blogspot.com states the following, "Sunday, January 24, 2010." We saw that the webpage said " 3D imaging is of vast importance in many fields such as biomedicine, computer vision and other industrial applications." It also said " There are different ways of obtaining the three-dimensional reconstruction of an object. These include stereo imaging, structured illumination, photometric stereo and structure from motion. Among all these methods, stereo imaging can be classified as the primary technique from where some of these methods are based. Figure 1 Model of stereo imaging."SEEK SIMILAR DOMAINS
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