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A few projects, done as part of the course work for Digital Image Processing, IIIT-D.

Python 100.00%
histogram-equalization histogram-matching geometric-transformation convolution fourier-domain bilinear-interpolation butterworth-filter

digital-image-processing's Introduction

Digital-Image-Processing

Assignment 1

  • Q3 --> Bilinear Interpolation
  • Q4 --> Geometric Transformation using bilinear interpolation
  • Q5 --> Restoring an unregistered image using a reference and manually providing pivot points.

Assignment 2

  • Q3 --> Histogram Equalization
  • Q4 --> Histogram Matching
  • Q5 --> Spatial Convolution

Assignment 3

  • Q1 --> Filtering in Fourier Domain (Butterworth example for demo)
  • Q3 --> Filtering in Fourier Domain when filter in spatial domain (assuming top-left point as origin).
  • Q4 --> Observing a noisy image in Fourier Domain, suppressing noisy frequencies to restore the corrupt image.

Assignment 4

  • Q1 --> Attempting to restore an image using Constrained Least Squares Filter.
  • Q3 --> Histogram Equalization of a color RGB image by converting it to the HSI space.

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