Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"blurred image"”.
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Motion blur removal from photographs
… To remove blur, we need to (i) estimate how the image is blurred (i.e. the blur kernel or the point-spread function) and (ii) restore a natural looking image through deconvolution. Blur kernel estimation is challenging because the algorithm needs to distinguish the correct imageblur pair from …
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Inverse filtering by signal reconstruction from phase
A common problem that arises in image processing is that of performing inverse filtering on an image that has been blurred. Methods for doing this have been developed, but require fairly accurate knowledge of the magnitude of the Fourier transform of the blurring function and are sensitive to noise …
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Adaptation to Interocular Differences in Blur
Adaptation to a blurred image causes a physically focused image to appear too sharp, and shifts the point of subjective focus toward the adapting blur, consistent with a renormalization of perceived focus. We examined whether and how this adaptation normalizes to differences in blur between the two …
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Ανάπτυξη συστήματος τομογραφικής απεικόνισης σε εξομοιωτή ακτινοθεραπείας
… involve a number of projections of the acquired image matrices as well as parallel translations and summing. Application of this method has resulted in an estimated 60-fold reduction of computing time, thus maintaining computer power requirements to a minimum. A technique has also been developed …
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Deconvolution and sparsity based image restoration
… sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using these two modalities. Image restoration, such as deblurring, dnoising, and in-painting belongs to the class of ill-posed linear inverse problems, …
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Deconvolution and sparsity based image restoration
… sparse representation are the two key areas in image and signal processing. In this thesis the classical image restoration problem is addressed using these two modalities. Image restoration, such as deblurring, dnoising, and in-painting belongs to the class of ill-posed linear inverse problems, …