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ECE468_18 - ECE 468 Digital Image Processing Lecture 18...

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ECE 468: Digital Image Processing Lecture 18 Prof. Sinisa Todorovic [email protected]
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Outline Multiresolution image processing (Textbook 7.1) Image Pyramids (Textbook 7.1.1)
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Multiresolution Image Processing Informal motivation: Images may show both very large and very small objects. It may be useful to process the images at different resolutions.
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Multiresolution Image Processing A more formal motivation: An image is a 2D random process with locally varying statistics of pixel intensities Analysis of statistical properties of pixel neighborhoods of varying sizes may be useful
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Histogram of Small Pixel Neighborhoods
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Image Pyramids A representation of the image that allows its multiresolution analysis
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Example: Image Pyramids
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Steps to Construct the Image Pyramid 1. Given an image at level j 2. Filter the input and and downsample the filtered result by a factor of 2; This gives the image at level j-1 3. Goto 1 4. Upsample and filter the image at level j-1; this gives an approximation of the image at level j 5. Subtract this result from the image at level j; this give the prediction residual at level j 6. Goto 1
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