e178-L3.ppt

e178-L3.ppt - Image Enhancement Reading: Chapter 3 (Spatial...

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Image Enhancement 1 Image Enhancement Reading: Chapter 3 (Spatial domain) Image Enhancement 2 Image Enhancement Input image Enhancement technique “Better” image Application specific - No general theory Spatial domain Frequency domain Manipulate pixel intensity directly Modify the Fourier transform
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Image Enhancement 3 Spatial domain techniques g(x,y) = T[ f (x,y) ] y . x (x,y) Simplest case : Neighbourhood is (x,y) [ g(.) depends only on the value of f at (x,y) ] Image Enhancement 4 Contrast Stretching Example: s = T (r) s = T(r) r T(r) s, r : Gray levels Example of contrast stretching. s r s = T(r) Thresholding There are all point operations hence referred to as point processing.
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Image Enhancement 5 Figure 3.3 Image Enhancement 6 Gray level transformations ( a ) Negative image: Example: g (x,y) = 255 - f (x,y)
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Image Enhancement 7 Contrast Enhancement Image Enhancement 8 Log Transformation ( c ) Compressing dynamic range s = c log (1 + |r| ) c Scaling factor Example: Displaying the Fourier Spectrum
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This note was uploaded on 12/28/2011 for the course ECE 178 taught by Professor Manjunath during the Fall '08 term at UCSB.

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e178-L3.ppt - Image Enhancement Reading: Chapter 3 (Spatial...

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