Comparative Study of Image Interpolation Techniques Project

Purpose: The purpose of this project is to compare the performance of different image interpolation techniques on a dataset of images with various resolutions and levels of detail.

Methods: For this project, you can select a dataset of images with different resolutions and levels of detail. You can then apply various image interpolation techniques, such as nearest neighbor, bilinear, and bicubic interpolation, to the images in the dataset and compare their performance based on criteria such as accuracy, speed, and visual quality. You can also experiment with different parameters and settings for each interpolation technique to see how they affect the results.

Libraries and Tools: You can use Python and libraries such as OpenCV or SciPy for this project. You can also use tools such as matplotlib or scikit-image to visualize the results of the interpolation techniques.

Expected Results: You should be able to compare the performance of the different interpolation techniques on the dataset of images based on the chosen criteria. You should also be able to identify the strengths and weaknesses of each technique and provide recommendations for which technique is best suited for a given task.

Documentation: In your report, you should include a description of the image interpolation techniques you used, the dataset you selected, the criteria you used to evaluate the performance of the techniques, and the results of your experiments. You should also include any code you wrote for the project, along with explanations of the algorithms and methods you used.

I need the python code which is the answer to what is written above. Thanks in advance.