Fundamentals of Digital Image Processing by Anil K. Jain

By Anil K. Jain

Provides an intensive assessment of the key themes of electronic snapshot processing, starting with the fundamental mathematical instruments wanted for the topic. incorporates a finished bankruptcy on stochastic types for electronic snapshot processing. Covers features of snapshot illustration together with luminance, colour, spatial and temporal houses of imaginative and prescient, and digitization. Explores quite a few photo processing options. Discusses set of rules improvement (software/firmware) for photo transforms, enhancement, reconstruction, and photograph coding.

Table of Contents
Introduction.
1. Dimensional structures and Mathematical Preliminaries.
2. snapshot Perception.
three. photo Sampling and Quantization.
four. picture Transforms.
five. picture illustration through Stochastic Models.
6. photograph Enhancement.
7. photograph Filtering and Restoration.
eight. picture research and laptop Vision.
nine. photograph Reconstruction From Projections.
10. photograph facts Compression.

Show description

Read or Download Fundamentals of Digital Image Processing PDF

Similar graphics & visualization books

Mac OS X Version 10.2 Jaguar Fast & Easy

Sit back. studying find out how to use Mac OS X 10. 2 is now a breeze. utilizing this booklet as your advisor, you will grasp its many beneficial properties very quickly. From the fundamentals of folders and documents to dealing with a number of clients, this booklet covers every thing you must wake up and working fast with the most recent model of this well known working approach.

Macworld DVD Studio Pro bible

The DVD StudioPro Bible is the authoritative and entire consultant growing professional-quality DVDs utilizing Apple's innovative new killer app, DVD Studio professional. This ebook positive factors simply obtainable info for rookies (including a QuickStart for instant results), complex guidance and methods for professionals, and large expert insights all through from DVD gaining knowledge of execs.

Analysis and Interpretation of Range Images

Desktop imaginative and prescient researchers were annoyed of their makes an attempt to immediately derive intensity info from traditional two-dimensional depth photos. examine on "shape from texture", "shape from shading", and "shape from concentration" remains to be in a laboratory level and had no longer obvious a lot use in advertisement desktop imaginative and prescient platforms.

Additional resources for Fundamentals of Digital Image Processing

Sample text

In the overlapping regions gives the result at (m, n). e. ,h (x - x ', y - y ')f(x ', y ')dx ' dy ' y (m, n) = h (m, n) © x (m, n) � LL h (m - m ', n - n ')x (m ', n ' ) ' ' mn = -xi (2. 11) [ill] �. 2 Examples of PSFs (a) Circularly symmetric PSF of average atmospheric turbulence causing small blur; (b) atmospheric turbulence PSF causing large blur; (c) separable PSF of a diffraction limited system with square aperature; (d) same as (c) but with smaller aperture. Figure 14 Two-Dimensional Systems and Mathematical Preliminaries Chap.

Computer Techniques in Image Processing. New York: Academic Press, 1970. 2. H. C. Andrews and B. R. Hunt. Digital Image Restoration. J. : Prentice-Hall, 1977. 3. K. R. Castleman. Digital Image Processing. J . : Prentice-Hall, 1979. 4. P. ). Digital Image Processing Techniques. New York: Academic Press, 1984. 5. R. C. Gonzalez and P. Wintz. Digital Image Processing, 2nd ed. Reading, Mass. : Addison-Wesley, 1987. 6 .. E. L. Hall. Computer Image Processing and Recognition. New York: Academic Press, 1979.

Y (N)), for any g (y) = g E [(x - i)g (y )] = 0 (2. 105) To prove this we write E [xg (y)J = E ( E (x ! y)g (y )] = E [ E (xg (y )jy )] = E [xg (y )J which implies (2. 105). Since x is a function of y, this also implies E [(x - i)i] = o (2. 106) E [(x - i)g (i)] = 0 (2. e. , the estimation error is orthogonal to every function of the estimate. The orthogonality principle has been found to be very useful in linear estima­ tion. In general, the conditional mean is a nonlinear function and is difficult to evaluate.

Download PDF sample

Rated 4.30 of 5 – based on 39 votes