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CS430 © 2006 Ray S. Babcock CS430 – Image Processing Image Representation.

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Presentation on theme: "CS430 © 2006 Ray S. Babcock CS430 – Image Processing Image Representation."— Presentation transcript:

1 CS430 © 2006 Ray S. Babcock CS430 – Image Processing Image Representation

2 CS430 © 2006 Ray S. Babcock Optical Images  What I call a “real image”  f(x,y) continuous function of two continuous variables  Sampled by equipment to I(x,y) discrete image  Two dimensional array of integers (unsigned char)  What I call a “real image”  f(x,y) continuous function of two continuous variables  Sampled by equipment to I(x,y) discrete image  Two dimensional array of integers (unsigned char) 4 x 4 x 3bits Each value represents 1 pixel 4 x 4 x 3bits Each value represents 1 pixel 1 1 1 1 3 3 5 5 0 0 0 0 7 7 2 2 4 4 7 7 7 7 7 7 0 0 6 6 6 6 0 0

3 CS430 © 2006 Ray S. Babcock Types of Images  Binary (1 bit)  Two values (0 = black, 1 = white)  Gray Scale (n bits)  2 n gray levels (0=black, 2 n -1 = white)  Color (n bits each of red, green, and blue)  Can have different number of bits per color, e.g. (3,3,2) but this isn’t done much anymore.  (8,8,8) 24-bit color  Binary (1 bit)  Two values (0 = black, 1 = white)  Gray Scale (n bits)  2 n gray levels (0=black, 2 n -1 = white)  Color (n bits each of red, green, and blue)  Can have different number of bits per color, e.g. (3,3,2) but this isn’t done much anymore.  (8,8,8) 24-bit color

4 CS430 © 2006 Ray S. Babcock Other Color Models  HSL (Hue/Saturation/Lightness)  Described in text, we won’t use these.  HSL (Hue/Saturation/Lightness)  Described in text, we won’t use these.


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