Spherical Projection for Original Images

This implementation performs spherical projection on original images, including two sample images for demonstration. The algorithm supports both color and grayscale image processing through coordinate transformation techniques. Spherical projection is a fundamental image processing technique that transforms the visual perspective of images, making them more dynamic and realistic. The projection process involves mapping 2D image coordinates to a spherical surface using mathematical transformations, typically implemented through remapping functions that calculate new pixel positions based on spherical coordinates. The processed images find applications across various domains including photography, film production, and virtual reality systems. Additionally, spherical projection enables image warping and distortion effects, allowing for specialized visual enhancements. The implementation ensures reliable spherical projection processing to improve image quality and expressive capabilities through proper coordinate mapping and interpolation methods. The code includes essential functions for handling different image formats and applying the spherical transformation efficiently.