IMAGE PROCESSING

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IMAGE PROCESSING
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Contact Information P.K.Thiruvikraman vikram_at_bits
-pilani.ac.in Chamber 3265 Website
http//discovery.bits-pilani.ac.in/discipline/phy
sics/pkthiru/index.htmlFor solutions to some
Test problems and sample programs and slides Also
check intrabits
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Website of Textbook http//www.imageprocessingpla
ce.com/ For solutions to some of the book
problems and other material.
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• This Course deals with
• Image Enhancement (in the spatial domain) 10
  lectures
• Image Enhancement (in the Fourier domain) 9
  lectures
• Image Restoration 4 lectures
• Image Compression 13 lectures
• Image Segmentation and Representation 4 lectures

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• Desirable Pre-Requisites
• Fourier transforms
• Probability and statistics

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• Applications of Image Processing
• Image Enhancement Improving the contrast of
  images. Contrast may be low due to poor lighting
  as in wildlife photography.
• Removal of Motion blur
• Removal of noise
• Image Compression

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Digital Image ACQUISITION
Slide courtesy of Prof. Gonzalez Prof. Woods
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SAMPLING AND QUANTISATION
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SAMPLING AND QUANTISATION
pixel
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Digital Image CONVENTION
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0 0 0 0 128 0 0 0 0 0 0 0 0 128 0 0 0 0 0 0 0 0 12
8 0 0 0 0 0 0 0 0 128 0 0 0 0 0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0 0 0 0 0 128 0 0 0 0 0 0 0 0 12
8 0 0 0 0 0 0 0 0 128 0 0 0 0
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EFFECT OF SAMPLING
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EFFECT OF QUANTISATION
False contouring
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STORAGE SPACE FOR IMAGE IMAGE OF SIZE M X N with
2K GRAY LEVELS M x N x K