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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/digitalimageprocessingandanalysis-221108125301-2f2d10b5/75/Digital-Image-Processing-and-analysis-pptx-3-2048.jpg)

This document discusses spatial domain image processing which involves direct manipulation of pixels in an image. Spatial domain processes are denoted by an expression where the input image is transformed by an operator to produce the output image. The operator works on a neighborhood of pixels in the input image. Spatial domain processing works on the aggregate pixels of an image and is computationally efficient requiring fewer processing resources 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/digitalimageprocessingandanalysis-221108125301-2f2d10b5/75/Digital-Image-Processing-and-analysis-pptx-3-2048.jpg)
