Image Enhancement : image enhancement is the process on image so that the result is more suitable then the original image for a specific application.
these are two categories of image enhancement :-
1) Spatial Domain
2)frequency Domain
Spatial Domain :- spatial domain technique operate directly on the pixel of the image as imposed spatial process can be denoted by Expression
g(x,y) . T[f(x,y)]
where f(x,y) is the input of the image
g(x,y) is the output of the image .
T is an operator on 'f define over neighborhood of point {x,y} the operator can apply to a single image or to a set of image origin.
the given diagram show the basic implementation of equation 1 to 0 single image ,
the point[x,y] is as location in the image & the small region show containing the point is a neighborhood is rectangular centered on {x,y}.
it consist of moving the origin from pixel to pixel & applying the operator "T to the pixel in the neighborhood to get the output at that location .
these for any specific location {x,y} the value of output image 'g as these co-ordinate is equal
to the result of applying "T" operator to the neighborhood with origin at (x,y) in "f".
FREQUENCY DOMAIN :-
it refer to an image after apply Fourier transformation such as DFT {Discrete Fourier transformation} or DCE method that relate to modify Fourier transformation
of or image spatial filtering in which the neighborhood along with pre-defined operation is called spatial mask, kernel , template or window in frequency domain.
The smallest possible neighborhood is of size 1x1 in this case ;g; depends only on the value of {f}
at single point (x,y) and (T) is become transformation function s = T(r).
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