Description: Digital image processing is the use of computer algorithms to perform image processing on digital images. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing and many more.
Curriculum
- 1 Section
- 40 Lessons
- 10 Weeks
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- Digital Image Processing40
- 2.1Introduction
- 2.2Image Digitization I
- 2.3Image Digitization II
- 2.4Pixel Relationships I
- 2.5Pixel Relationships II
- 2.6Basic Transformations
- 2.7Camera Model and Imaging Geometry
- 2.8Camera Calibration and Stereo Imaging
- 2.9Interpolation and Resampling
- 2.10Image Interpolation – I
- 2.11Image Interpolation – II
- 2.12Image Transformation – II
- 2.13Fourier Transformation – I
- 2.14Fourier Transformation – II
- 2.15Discrete Cosine Transform
- 2.16K-L Transform
- 2.17Image Enhancement – I
- 2.18Image Enhancement – II
- 2.19Image Enhancement – III
- 2.20Image Enhancement – IV
- 2.21Image Enhancement Frequency
- 2.22Image Restoration – I
- 2.23Image Restoration – II
- 2.24Image Restoration – III
- 2.25Image Registration
- 2.26Colour Image Processing – I
- 2.27Colour Image Processing – II
- 2.28Colour Image Processing – III
- 2.29Image Segmentation – I
- 2.30Image Segmentation – II
- 2.31Image Segmentation – III
- 2.32Image Segmentation – IV
- 2.33Mathematical Morphology – I
- 2.34Mathematical Morphology – II
- 2.35Mathematical Morphology – III
- 2.36Mathematical Morphology – IV
- 2.37Object Representation and Description – I
- 2.38Object Representation and Description – II
- 2.39Object Representation and Description – III
- 2.40Object Recognition
