By KS Thyagarajan
With crystal readability, this booklet conveys the most up-tp-date ideas in electronic picture processing, delivering either the historical past thought and the sensible functions to varied industries, comparable to electronic cinema, video compression, and streaming media.
* examine the function of human imaginative and prescient in picture visualization
* comprises the MATLAB codes used to generate lots of the figures and tables indexed within the publication, in addition to a number of MATLAB projects
* Case reviews although out illustrate the sensible program of the speculation
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With crystal readability, this booklet conveys the most up-tp-date ideas in electronic picture processing, supplying either the historical past thought and the sensible purposes to varied industries, corresponding to electronic cinema, video compression, and streaming media.
* examine the position of human imaginative and prescient in photo visualization
* comprises the MATLAB codes used to generate many of the figures and tables indexed within the publication, in addition to a number of MATLAB projects
* Case stories although out illustrate the sensible program of the speculation
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Additional resources for Digital Image Processing with Application to Digital Cinema
The transfer function of a 2-D discrete LSI system is, in general, a rational polynomial in the two spatial frequencies. Therefore, it can be represented by H (W1 , W 2 ) = N (W1 , W 2 ) , D (W1 , W 2 ) (2-24) where N(W1,W2) and D(W1,W2) are polynomials in the spatial frequency variables W1 and W2, of order n and m, respectively, with n < m. , D(W1,W2) is a constant and N(W1,W2) is a polynomial of order n, then the filter is called a 2-D finite impulse response (FIR) filter. Otherwise the filter is known as an infinite impulse response (IIR) filter.
John Wiley & Sons: New York, 1991 2 CHAPTER Two-Dimensional Signals, Systems, and Discrete Fourier Transform Mathematical preliminaries are unavoidable in any system theory discipline, especially image processing. However, this chapter introduces some basic ideas concerning two-dimensional (2-D) signals and systems, which are useful in the analysis and design of image processing systems, and defers detailed derivations to an appendix. If you are familiar with 2-D signals and systems, you may skip this chapter.
This oscillation in the passband and stop band is known as the Gibbs phenomenon and is due to truncating the ideal impulse response abruptly. This is in direct agreement with the principle of time–frequency resolution, which says that one cannot achieve arbitrary resolution in both time and frequency simultaneously. Finally, Figure 2-6c depicts the phase response of the filter, which has an exact linear phase versus frequency. In fact, with some algebraic manipulation, we can show that the phase function is given by the following: q (W) = -4W, - p £ W £ p .