![]() In the original image spreads out the same way in forming the blurry image. But that's for another day.) We usually start with a shift-invariant model, meaning that every point (If that's not available, there are algorithms ![]() To deblur the image, we need a mathematical description of how it was blurred. Besides that, it's just fun to apply an algorithm to aīlurry image and then see immediately how well you did. Kinds of scientific, medical, industrial and theoretical problems. ![]() Plus, image restoration is an easily visualized example of a larger class of inverse problems that arise in all A number of real-world problems from astronomy to consumer imaging find applications for image restorationĪlgorithms. Image deblurring (or restoration) is an old problem in image processing, but it continues to attract the attention of researchersĪnd practitioners alike. Over the next few months, Stan plans to contribute several blogs here on the general topic of image deblurring in MATLAB. ![]() His research activities include image restoration and reconstruction, optimal He serves as an associateĮditor for IEEE Transactions on Image Processing. Stan is a professor in the Department of Electrical and Computer Engineering at Auburn University. I'd like to introduce guest blogger Stan Reeves. ![]()
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