A Concise Introduction to Image Processing using C++ by Meiqing Wang, Choi-Hong Lai

By Meiqing Wang, Choi-Hong Lai

Snapshot acceptance has turn into an more and more dynamic box with new and rising civil and armed forces functions in defense, exploration, and robotics. Written via specialists in fractal-based picture and video compression, A Concise advent to photograph Processing utilizing C++ strengthens your wisdom of basics rules in snapshot acquisition, conservation, processing, and manipulation, permitting you to simply follow those concepts in real-world problems.

The ebook provides state of the art picture processing method, together with present business practices for photograph compression, snapshot de-noising tools in line with partial differential equations (PDEs), and new picture compression tools, akin to fractal photo compression and wavelet compression. It starts off with assurance of illustration, after which strikes directly to communications and processing. It concludes with discussions of processing options in response to picture representations and variations constructed in previous chapters. The accompanying CD-ROM comprises code for all algorithms.

Suitable as a textual content for any direction on photograph processing, the publication is also used as a self-study source for researchers who want a concise and transparent view of present picture processing equipment and coding examples. The authors introduce mathematical ideas with rigor appropriate for readers with a few historical past in calculus, algebra, geometry, and PDEs. All algorithms defined are illustrated with code implementation and lots of pictures evaluate the result of diverse equipment. The inclusion of C++ implementation code for every set of rules defined allows scholars and practitioners to accumulate their very own research device.

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However, JPEG is a lossy compression algorithm that will lose some information after decoding. JPEG encoding uses the discrete cosine transform (DCT) technology. indd 18 9/29/08 5:47:23 PM Basic Concepts of Images < 19 introduced in the following chapters. Here, lossless and lossy are related to compression algorithms, and their technical details are further explained in Chapter 6. 4 The GIF Format GIF is the abbreviation for graphics interchange format. gif. The format includes some key features that make it a common and valuable format for the Internet.

39) If the set of vectors ψ is orthonormal and complete, it is easy to show that r = s. In this case, ψ is called an orthonormal basis. The property of completeness ensures that any real function can be written as the weighted sum of the functions in ϕ , and any s-dimensional vector can be written as the weighted sum of the vectors in ψ . 1 The following convolution kernel is often used for smoothing images: 1 8  1 h= 8 1   8 1 8 0 1 8 1 8  1 8 1  8  Given the 8 × 8 grey-scale image with the intensity matrix given as below, compute the smoothing result of a by using the convolution kernel h.

2. K. R. , Prentice Hall, Upper Saddle River, NJ, 1996. 3. E. O. Brigham, The Fast Fourier Transform, Prentice-Hall, Englewood Cliffs, N J, 1988. 4. H. K. Garg, Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications, CRC Press, Boca Raton, FL, 1998. 5. J. S. , 1996. 6. R. Qiuqi, Digital Image Processing Science, Publishing House of Electronic Industry, Beijing, 2001 (in Chinese). 7. W. B. Pennebaker and J. L. Mitchell, JPEG: Still Image Data Compression Standard, Springer, New York, 1993.

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