Download Digital Image Processing with Application to Digital by KS Thyagarajan PDF

By KS Thyagarajan

With crystal readability, this publication conveys the most up-tp-date rules in electronic photograph processing, delivering either the heritage thought and the sensible functions to varied industries, similar to electronic cinema, video compression, and streaming media.
* study the function of human imaginative and prescient in snapshot visualization
* comprises the MATLAB codes used to generate lots of the figures and tables indexed within the booklet, in addition to a couple of MATLAB projects
* Case reviews although out illustrate the sensible program of the speculation

Show description

Read or Download Digital Image Processing with Application to Digital Cinema.(Focal Press) PDF

Similar web design books

Designing Interactive Systems

Designing Interactive platforms is the main updated and authoritative textbook within the parts of Human machine interplay (HCI), usability, buyer adventure and interplay layout. David Benyon has taken the well-received first version and remodelled it for the subsequent period of interactive units and purposes.

Apple Pro Training Series: Final Cut Pro for Avid Editors (4th Edition)

Up-to-date for ultimate reduce seasoned 7 and written for pro video and picture editors who understand their means round Avid nonlinear platforms, this ebook exhibits you ways to translate your talents to ultimate minimize professional quick and successfully. manufacturer, editor, and Apple qualified coach Diana Weynand takes you thru a finished “translation direction” masking the entire crucial operations, from undertaking set-up and uncomplicated modifying via transitions and results, colour correcting, compositing, titling, and output.

Django 1.0 Template Development

A finished, functional exploration of the utilization and customization of Django's template procedure, together with tutorials on pagination, caching, and internationalization. This publication is for net builders and template authors who are looking to absolutely comprehend and make the most of the Django template process. The reader must have accomplished the introductory tutorials at the Django project's web site and a few event with the framework might be very beneficial.

Wireless Networked Music Performance

This e-book provides a finished evaluation of the cutting-edge in Networked track functionality (NMP) and a ancient survey of desktop tune networking. It introduces present technical developments in NMP and technical concerns but to be addressed. It additionally lists instant verbal exchange protocols and compares those to the necessities of NMP.

Extra resources for Digital Image Processing with Application to Digital Cinema.(Focal Press)

Sample text

2-28) Otherwise H(W1,W2) is said to be nonseparable. Generally, the two 1-D functions in Eq. (2-28) are identical. The advantages in using separable FIR filters are (1) the 2-D filtering can be implemented as a row–column operation, namely an image can be filtered first along its rows and then along the columns of the row-filtered image, and (2) the implementation can be more efficient. The row–column operation can be shown as follows. Using the 2-D convolution in Eq. (2-6) and the condition for separability in Eq.

Define W2 n W = W12 + W 22 , f = tan -1 , and q = tan -1 . 3 p Ú 0 WJ 0 (W m 2 + n 2 )dW 2 Two-Dimensional Signals, Systems, and Discrete Fourier Transform 42 where J0(x) and J1(x) are the Bessel functions of the first kind of orders 0 and 1, respectively. 2), 20 < D < 60 a =Ì , D < 20 Ó0, (2-56) D = -20 log d pd s (2-57) where and dp and ds are the passband and stop band ripples, respectively, as shown in Figure 2-11. 3p −p FIGURE 2-11 A circularly symmetric 2-D Kaiser window of Example 2-7. 6 FIR Filter Design 43 obtained as h[m,n] = hI[m,n]wc[m,n], |m| £ 4, |n| £ 4.

01. The parameter a is determined from Eq. 3953. 01 FIGURE 0 Wp Ws p W A frequency response tolerance scheme. 125 and then N from Eq. (2-45). 855. 125 the filter length and so M = 9. 375p . Using the Kaiser window parameters just found, we now 2 obtain the window function wk[n], -9 £ n £ 9. Finally, the desired filter impulse response is determined from Df = h d [n ] = w K [n ]. sin(nW c ) , - 9 £ n £ 9. np Figure 2-10a shows a plot of the Kaiser-windowed FIR filter impulse response. The corresponding magnitude response is shown in Fig.

Download PDF sample

Rated 4.38 of 5 – based on 18 votes