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

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

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

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.