Grey Scale N Pixel Images

Linear algebra plays a foundational role in image processing. Images, particularly greyscale images, can be viewed as matrices or arrays, and linear algebra helps manipulate these matrices to apply transformations, perform analyses, and process the images. 

Matrix Representation of Images

• Greyscale Image Representation:
  A greyscale image is represented as a matrix (2D array), where each element (or pixel) represents the intensity of light at a specific point in the image. For example, in an m×n image, the pixel value at position (i, j)  could represent brightness, with values ranging from 0 (black) to 255 (white) in an 8-bit image.