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![Background
• Background • • Spatial domain processes denoted by the expression
g(x, y) = T[f(x, y)] – f(x, y) is input image – g(x, y) is output image – T is
an operator on f, defined over some neighborhood of (x, y) – T may
also operate on a set of images (adding two images)
• Spatial domain – Aggregate pixels composing an image –
Computationally more efficient and require less processing resources
for implementation](https://image.slidesharecdn.com/roadsafety-221111173000-5fdb0945/85/Road_safety-pptx-3-320.jpg)

This document discusses spatial domain image processing and background information. Spatial domain refers to directly manipulating pixels in an image. Background processes in spatial domain are denoted by an expression where the input image is modified by an operator over a neighborhood of pixels to create an output image. Computation in the spatial domain involves aggregating and processing pixels, making it more efficient than other methods.


![Background
• Background • • Spatial domain processes denoted by the expression
g(x, y) = T[f(x, y)] – f(x, y) is input image – g(x, y) is output image – T is
an operator on f, defined over some neighborhood of (x, y) – T may
also operate on a set of images (adding two images)
• Spatial domain – Aggregate pixels composing an image –
Computationally more efficient and require less processing resources
for implementation](https://image.slidesharecdn.com/roadsafety-221111173000-5fdb0945/85/Road_safety-pptx-3-320.jpg)
