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Digital Image Processing CCS331

Digital Image Processing CCS331. Interpolation and Resampling. Summery of previous lecture. Calibration of the camera Extracting the 3D point from 2 images which is also known as stereo images Stereo correspondence problem complexity. Todays lecture.

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Digital Image Processing CCS331

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  1. Digital Image ProcessingCCS331 Interpolation and Resampling

  2. Summery of previous lecture • Calibration of the camera • Extracting the 3D point from 2 images which is also known as stereo images • Stereo correspondence problem complexity

  3. Todays lecture • Why and when, do we need image interpolation and image resampling. • Interpolation operation • Algorithms for different image transformations and the needed interpolation operations.

  4. Interpolation and image resampling • 1 dimensional signal which are represented by f S (t).

  5. Properties of the interpolation • B spline function satisfies all these 3 propertieswe need

  6. Nature of B spline functions • The region of support for this cubic function is 5 points • The region of support for quadratic function is 4 points • The region of support for the linear B spline is 3 points • The region of support for 1 is 2 points. • In all cases, the region of support is finite.

  7. interpolation

  8. Interpolation

  9. Change in shift

  10. interpolating the function

  11. interpolating the function

  12. interpolating the function

  13. interpolating the function

  14. Results, constant interpolation

  15. Results, constant interpolation

  16. Results, cubic

  17. Summery of the lecture • Why and when, do we need image interpolation and image resampling. • Interpolation operation • Algorithms for different image transformations and the needed interpolation operations.

  18. References • Prof .P. K. BiswasDepartment of Electronics and Electrical Communication Engineering Indian Institute of Technology, Kharagpur • Gonzalez R. C. & Woods R.E. (2008). Digital Image Processing. Prentice Hall. • Forsyth, D. A. & Ponce, J. (2011).Computer Vision: A Modern Approach. Pearson Education.

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