Preprocessing functions need to be optimized

[aashnapulla]

Current preprocessing functions rely heavily on nested for loops, which significantly slow down execution. While this may work for individual images, processing an entire dataset becomes extremely time-consuming. To improve efficiency, the functions should be optimized using NumPy vectorization and broadcasting techniques, reducing computation time and making the pipeline more scalable.