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Issue 6.2

FEATURE

REALGraphics

Basic Image Processing

Issue: 6.2 (January/February 2008)
Author: JC Cruz
Author Bio: JC is a freelance technical writer living in British Columbia. He writes for various publications, pokes around with Cocoa and REALbasic, and spends time with his nephew. He can be reached at: anarakisware@gmail.com
Article Description: No description available.
Article Length (in bytes): 40,490
Starting Page Number: 20
Article Number: 6210
Resource File(s):

Download Icon 6210.zip Updated: 2013-03-11 19:08:00

Related Web Link(s):

http://en.wikipedia.org/wiki/Test_card
http://en.wikipedia.org/wiki/HSV_color_space
http://en.wikipedia.org/wiki/Contrast_%28vision%29
http://en.wikipedia.org/wiki/Brightness
http://www.imatest.com/docs/print_sharpening.html
http://en.wikipedia.org/wiki/Vector_%28spatial%29
http://en.wikipedia.org/wiki/Discrete_Fourier_transform

Excerpt of article text...

Welcome to our first article on image processing techniques. First, we will take a quick look at the field of image processing. Then we will study three basic processing algorithms. Next, we will incorporate these algorithms into three Thread subclasses. Then we will try out these subclasses on a standard test image.

Image Processing, A Brief Survey

Image processing is a large group of algorithms that operate on data in a digitized image. Some enhance certain traits of the image; others measure parts of that image. Some transform the image into a different form; others filter out data from the image.

Many of these algorithms have been used in medical and scientific imaging. Many are also used for forensic and military work. And thanks to products such as Photoshop, the consumer public gets to use some of these algorithms on their personal photos.

All these algorithms can be categorized based on the mathematics they use. The following are some of the more common categories you will find.

Vector algorithms

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