Image Processing

Image Processing

1. Study of any algorithm that takes an image as input & return image/parameter as output

2. Low-level Processing

   • Image acquisition
     • Preprocessing stage
     • Getting image / Scaling
   • Image enhancement
     • Sharpening / focus image
     • Highlight edge
     • Contrast / brightness
     • Remove noise
   • Image restoration
     • Based on mathematical model of image degradation
     • Remove blur caused by linear motion, optical distortion, periodic interference
   • Morphological processing
     • extract useful component
     • for description/representation of shape

3. Intermediate-level Processing

   • Segmentation
     • Subdividing image into constituent part
     • Isolate/identify individually certain aspect of image
   • Representation & Description
     • Output of segmentation
     • Representation : for transform raw data into suitable form for computer processing
     • Description : extract attribute result in quantitative info for differentiating class of object

4. High-level Processing

   • Recognition
     • Assign label on item
   • Image compressing
   • Color image processing