Assignment$1$:Digital Image Processing with Spatial and Frequency Enhancements

Overview:

This assignment is designed to explore and apply spatial and frequency domain enhancements on a dataset of their choice.

Programming language: Python.

Objectives:

$1.$ To understand and implement spatial domain image processing techniques.

$2.$ To understand and apply frequency domain image processing methods.

$3.$ To analyze the effectiveness of different enhancement techniques on various datasets.

Assignment Tasks:

$1.$ Dataset Selection $($any image dataset$)$:

$-$ Select a dataset consisting of at least $10$ images.

Justify the selection with a brief description.

$2.$ Spatial Domain Enhancement:

$-$ Implement at least two spatial domain enhancement techniques $($e$.$g$.,$ histogram equalization, and spatial filtering$).$

$-$ Apply these techniques to your selected dataset.

$-$ Document the process and results, including before and after comparisons for each image.

$3.$ Frequency Domain Enhancement:

$-$ Implement at least two frequency domain enhancement methods $($e$.$g$.,$ Fourier Transform for filtering, and frequency domain smoothing$/$sharpening$).$

$-$ Apply these methods to the same dataset.

$-$Document the process and results, with comparative analysis similar to the spatial domain section.

$4.$ Analysis and Conclusion:

$-$Analyze the effectiveness of the applied techniques on your dataset. Discuss the differences in the results between spatial and frequency domain enhancements.

$-$ Conclude which method worked best for your dataset and why.

Note: I want explain each step with coding, and choose any dataset images and write the name of the dataset until I can use it