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Noise removal, Image enhancement, Contrast enhancement, Histogram equalization, Sharpening, Application of contra-harmonic mean and gaussian filter, Morphological operations.

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ImageProcessing-Experiments

This project uses some image processing techniques. You can find application of these operations in ipynb file: Noise removal, Image enhancement, Contrast enhancement, Histogram equalization, Sharpening, Application of contra-harmonic mean and gaussian filter, Morphological operations.

Task 1

Task description: Work on the degraded image and apply image restoration (noise removal) techniques to remove noise.

Task 2

Task description: Enhance the output from Task 1 in terms of contrast.

Task 3

Task description: Analyze the image and find out if you can enhance this image for visual appeal.

Task 4

Task description: Convert the image to grayscale. Then, apply thresholding to produce a binary image.Then, apply dilation, erosion, closing, and opening morphological operations on the binary image.

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Noise removal, Image enhancement, Contrast enhancement, Histogram equalization, Sharpening, Application of contra-harmonic mean and gaussian filter, Morphological operations.

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