2. Content of this PPT is based on the following resources,
1. Practical Image and Video Processing using MATLAB, Oge
Marques, Florida Atlantic University, Wiley-IEEE Press, 2011,
ISBN: 978-0-470-04815-3
2. http://ultra.sdk.free.fr/docs/Image-
Processing/Image%20processing%20theory/Fundamentals%2
0Of%20Image%20Processing.pdf
4. Digital Image Definitions
• Image Processing -> image in - image out
• Image Analysis -> image in - measurements out
• Image Understanding -> image in - high-level description out
15. Binary images are encoded as a 2D array, typically using 1 bit per
pixel, where a 0 usually means “black” and a 1 means “white”
Binary image
16. Gray level (8-bit) image
• Gray-level (monochrome) images are also encoded as a 2D array of pixels, usually with 8 bits per
pixel,
• 0 corresponds to “black,” a pixel value of 255 means “white,” and intermediate values indicate
varying shades of gray.
• The total number of gray levels is larger than the human visual system
requirements (which, in most cases, cannot appreciate any improvements beyond 64
gray levels)
17. Color image
• 24-Bit (RGB) Color Images Color images represented using three 2D arrays of same size, one for
each color channel: red (R), green (G), and blue (B).
• Each array element contains an 8-bit value, indicating the amount of red, green, or blue at that point
in a [0, 255] scale.
• The combination of the three 8-bit values into a 24-bit number allows 224 (16,777,216, usually
referred to as 16 million or 16 M) color combinations.
