Multiple processing techniques to analyze and enhance images
- Notebook developed in Jupyter
- The whole code lies in ImageProecessing.ipynb
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- Explain the impact of the following transformation function on a grayscale image, in terms of intensity values and brightness.
- Verify by applying the transformation on an image of choice (including input/output images)
- Explain the impact of the following transformation function on a grayscale image, in terms of intensity values and brightness.
- Propose a method for enhancing the image “nature_dark_forest.jpg” in terms of the perceived light and color
- Propose a method for improving the image “pollen-500x430px-96dpi.jpg” in terms the perceived brightness
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- Try to guess the processing steps adopted. (Note the dynamic range and brightness of the enhanced image, and the noise introduced.)
- Propose a pipeline of processes with the aim of approximating “image_1” starting from “image_2”
- Try to guess the processing steps adopted. (Note the dynamic range and brightness of the enhanced image, and the noise introduced.)