Lecture - Image Enhancement (spatial domain)

Lecture - Image Enhancement (spatial domain) - EE 4780...

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Unformatted text preview: EE 4780 Image Enhancement Bahadir K. Gunturk 2 Image Enhancement The objective of image enhancement is to process an image so that the result is more suitable than the original image for a specific application. There are two main approaches: Image enhancement in spatial domain: Direct manipulation of pixels in an image Point processing: Change pixel intensities Spatial filtering Image enhancement in frequency domain: Modifying the Fourier transform of an image Bahadir K. Gunturk 3 Image Enhancement by Point Processing Intensity Transformation Bahadir K. Gunturk 4 Image Enhancement by Point Processing Contrast Stretching Bahadir K. Gunturk 5 Image Enhancement by Point Processing Contrast Stretching ( ) log(1 ) T r c r = + Bahadir K. Gunturk 6 Image Enhancement by Point Processing Intensity Transformation Matlab exercise Bahadir K. Gunturk 7 Image Enhancement by Point Processing Intensity Transformation Bahadir K. Gunturk 8 Image Enhancement by Point Processing Intensity Transformation Bahadir K. Gunturk 9 Image Enhancement by Point Processing Gray-Level Slicing Bahadir K. Gunturk 10 Image Enhancement by Point Processing Histogram 255 Number of pixels with intensity ( ) Total number of pixels r p r = ( ) p r r Bahadir K. Gunturk 11 Histogram Specification ( ) s T r = Intensity mapping Assume T(r) is single-valued and monotonically increasing. The original and transformed intensities can be characterized by their probability density functions (PDFs) ( ) 1 and 0 1 T r r ( ) r p r ( ) s p s Bahadir K. Gunturk 12 Histogram Specification...
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This note was uploaded on 11/28/2011 for the course EE 4780 taught by Professor Staff during the Spring '08 term at LSU.

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Lecture - Image Enhancement (spatial domain) - EE 4780...

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