Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3)
| Author | : | |
| Rating | : | 4.94 (604 Votes) |
| Asin | : | 0898716187 |
| Format Type | : | paperback |
| Number of Pages | : | 130 Pages |
| Publish Date | : | 2016-02-10 |
| Language | : | English |
DESCRIPTION:
His publications include a research monograph, several MATLAB packages, and many papers on inverse problems, matrix computations, and signal processing. Per Christian Hansen is Professor of Scientific Computing at the Technical University of Denmark. She is a member of SIAM, AWM, and ACM. In 2001 he was selected to hold
When we use a camera, we want the recorded image to be a faithful representation of the scene that we see, but every image is more or less blurry. This book’s treatment of image deblurring is unique in two ways: it includes algorithmic and implementation details; and by keeping the formulations in terms of matrices, vectors, and matrix computations, it makes the material accessible to a wide range of readers. The key issue is that some information on the lost details is indeed present in the blurred image, but this “hidden” information can be recovered only if we know the details of the blurring process. “The book’s focus on imaging problems is very unique among the competing books on inverse and ill-posed problems. It also incorporates introductory material, such as how to
PC said Excellent book on Deblurring images. I enjoy reading this book very much. From introductory material to algorithmic and implementation details, it is packed with interesting material.I especially like the `Pointer' and `Very Important Point (VIP)' sections throughout the book. Many times, the VIP and Pointer sections help me focus on what was covered even though the material may be a bit unclear to me or I may have forgotten a piece of the mathematics. Another nice feature is that you don't need to have MATLAB Image Processing Toolbox (IPT) to implement the algorithm in the book, the authors provide a HNO MATLA. "Beyond heuristics in image restoration" according to Bo Martins. I already bought this book once through the company I work for. This time I wanted a copy for myself - that is how good this book is. If you are concerned with image quality, this book potentially opens up a marvelous new world. You must be an engineer or similarly scholared to understand the book. Furthermore, you must have access to Matlab and you must expect to invest tons of hours.. Very Interesting Stuff! It comes with some matlab code to help you get started with image processing. I think it was well written and pretty easy to understand. You may want a linear algebra book as well, just because the spectral decomposition stuff isn't always taught in undergrad math.
'The book's focus on imaging problems is very unique among the competing books on inverse and ill-posed problems It gives a nice introduction into the MATLAB world of images and deblurring problems.' Martin Hanke, Johannes-Gutenberg-Universität