From Event: SPIE Optical Engineering + Applications, 2017
Image restoration is a classic problem in image processing. Image degradations can occur due to several reasons, for instance, imperfections of imaging systems, quantization errors, atmospheric turbulence, relative motion between camera or objects, among others. Motion blur is a typical degradation in dynamic imaging systems. In this work, we present a method to estimate the parameters of linear motion blur degradation from a captured blurred image. The proposed method is based on analyzing the frequency spectrum of a captured image in order to firstly estimate the degradation parameters, and then, to restore the image with a linear filter. The performance of the proposed method is evaluated by processing synthetic and real-life images. The obtained results are characterized in terms of accuracy of image restoration given by an objective criterion.
Leopoldo N. Gaxiola, Rigoberto Juarez-Salazar, and Victor H. Diaz-Ramirez, "Restoration of motion blurred images," Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950J (Presented at SPIE Optical Engineering + Applications: August 07, 2017; Published: 24 August 2017); https://doi.org/10.1117/12.2272797.
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