This best-selling, original text focuses on image reconstruction, real-time texture mapping, separable algorithms, two-pass transforms, mesh warping, and. Image Warping & Morphing. ◉ Involves 3 things. ○ Spatial transformation .. G. Wolberg. Digital Image Warping. IEEE Computer Society Press,. CS transformation of one digital image into another. alized by coupling image warping with color inter- polation. mesh warping (Wolberg ), field morphing.
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This book is intended to be a practical guide for eclectic scientists and engineers who find themselves in need of implementing warping algorithms and comprehending the underlying concepts. Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? This best-selling, original text focuses on image reconstruction, real-time texture mapping, separable algorithms, two-pass transforms, mesh warping, and special effects.
The text, containing all original material, begins with the history of the field and continues with a review of common terminology, mathematical preliminaries, and digital image acquisition. Later chapters discuss equations for spatial information, interpolation kernels, filtering problems, and fast-warping techniques based on scanline algorithms.
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Share your thoughts with other customers. Write a customer review. Showing of 5 reviews. Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. I’ve been looking for a technical book regarding to warping and this is it.
This book provides a general review among the technologies and their relationship and then it gets down to the detail of the warping.
IEEE Computer Society: Digital Image Warping – George Wolberg
As this is an old book, I am sure some newer technologies have been developed since then but still this book serves as the best book for beginner. This book is a clearly written overview of the field and its algorithms, warpingg it is not a good wqrping practical guide. I am yet to find a paper or a book that talks about these methods clearly and then shares solutions to some examples. I’d say this book is an essential foundation in going further, but you’ll still need to do some research and programming experiments of your own to understand the subject.
Digital image warping – George Wolberg – Google Books
I do take my hat off to Wolberg to diigital the only person to tackle this subject in print and do an even half-way adequate job of it. Chapter 1 discusses the history of this field and presents a brief overview of the other chapters. A review of common terminology, mathematical preliminaries, and digital image acquisition is presented in Chapter 2.
As we shall see later, digital image warping consists of two basic operations: Don’t judge the book too harshly by these first two chapters. Most books on image processing topics have overview chapters that are not that helpful because they are too general.
Chapter three is where the specifics come into play. It describes various common methods for spatial transformations, as well as techniques for inferring them when only a set of correspondence points are known. Chapter 4 provides a warpinb of sampling theory, which is the mathematical framework used to describe the filtering problems that follow.
Chapter 5 describes image resampling, including several common interpolation kernels. These are used in the discussion of antialiasing in Chapter 6. This chapter demonstrates several approaches used to avoid artifacts that manifest themselves to the discrete nature of digital images. Fast warping techniques based on scanline algorithms are presented in Chapter 7.
These results are particularly useful for both hardware and software realizations of geometric transformations.
Finally, the main points of the book are basically repeated in Chapter 8. Source code, written in C, is scattered among the chapters and warpiing to demonstrate implementation details for various algorithms.
The problem with the book is that the algorithms are clear enough, what is not clear is how one would use all of this to correct imagery and under what circumstances. In short, the author either gives a broad overview or a minute derivation of the math with some code.
What would have been nice would have been some extended examples to tie it all together. The following is the table of contents, listed because it is currently not part of the product description. Robertson, 7. Wolberg, 7. Wolberg and Boult, 7. I read Wolberg’s book after writing my own morph program, I wish I had read it beforehand.
It gives a good overview of warping techniques, clearly differentiates between forward and inverse mapping, and gives by far the best description of Doug Smythe’s morphing program that exists.
People who complain about a lack of code samples are whiners. Nothing in this book is complex in the least, and the implementation of any of the algorithms in it is pretty straightforward. George Wolberg invented the digital image warping techniques that were used to make the special effects in Willow and The Abyss. It is the first place I went to learn how to speed up this operation. Unfortunately, this book is now out of print, but it is still available directly from the author.
As the previous reviewer indicates, this is not a programming text; but it is clearly written and explores a wide variety of image warping techniques, clearly describing highly efficient algorithms for each. This book is without peer for this important class of image operations. Wolberg reminds me of certain college professors that I had who excelled at generating a great deal of theorical and mathematical concepts, but never really could offer a practical implementation or application.
I bought this book in hopes of learning how to correct aerial and satellite photos. However, the only insight that Wolberg gave to me was a series of equations, followed by the repeated statement that ‘you can use these to correct remote sensor data’. I already knew that See all 5 reviews. Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.
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