Download e-book for iPad: A Concise Introduction to Image Processing using C++ by Meiqing Wang, Choi-Hong Lai
By Meiqing Wang, Choi-Hong Lai
Snapshot attractiveness has develop into an more and more dynamic box with new and rising civil and armed forces purposes in protection, exploration, and robotics. Written by means of specialists in fractal-based photo and video compression, A Concise advent to photograph Processing utilizing C++ strengthens your wisdom of basics ideas in photo acquisition, conservation, processing, and manipulation, permitting you to simply practice those recommendations in real-world problems.
The booklet offers state of the art photo processing method, together with present business practices for photo compression, snapshot de-noising equipment in line with partial differential equations (PDEs), and new photograph compression tools, corresponding to fractal snapshot compression and wavelet compression. It starts off with insurance of illustration, after which strikes directly to communications and processing. It concludes with discussions of processing suggestions according to snapshot representations and ameliorations constructed in prior chapters. The accompanying CD-ROM includes code for all algorithms.
Suitable as a textual content for any direction on picture processing, the publication can be used as a self-study source for researchers who want a concise and transparent view of present photo processing equipment and coding examples. The authors introduce mathematical options with rigor compatible for readers with a few history in calculus, algebra, geometry, and PDEs. All algorithms defined are illustrated with code implementation and plenty of photographs evaluate the result of assorted tools. The inclusion of C++ implementation code for every set of rules defined allows scholars and practitioners to accumulate their very own research instrument.
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Extra resources for A Concise Introduction to Image Processing using C++
5 The Wavelet Transform The Gabor transform involves a window function that takes into account the influence of a short time interval of the frequency content of the Fourier transform of a given signal. 29, the size of the window a is a constant for all frequency, which is itself a limitation . When a is small, the higher pitches in the frequency domain are clearer, but the lower pitches are a blur. When a is large, the lower pitches in the frequency domain are better received, but the higher pitches in the time domain from the inverse transform are a blur.
Gif. The format includes some key features that make it a common and valuable format for the Internet. Such features include the high compression ratio and storage of multiple images within a single file allowing a primitive form of animation. However, the maximum storage capacity of each pixel is 8-bit, that is, only a maximum of 256 colours can be referenced within a single GIF image. Hence, GIF format should commonly be used for graphics and images with a few colours such as buttons or black-and-white photos.
4 The Fast Fourier Transform The Fourier transform is a time-consuming computation. For example, the Fourier transform of an original sequence with N points has the computational complexity O(N 2). When N is large, the computing time becomes very high. The Fast Fourier Transform (FFT) [2,3] requires the computational complexity O( N log 2 N ) , which significantly reduces the computing time when N is large. For two-dimensional signals such as those in image processing, one-dimensional FFT is required to be applied twice, one in the horizontal direction and the other in the vertical direction.
A Concise Introduction to Image Processing using C++ by Meiqing Wang, Choi-Hong Lai