Lossless image compression techniques aim to reduce the size of an image file removing any information. This ensures that the original image is exact to the input image. Popular methods include Run-Length Encoding (RLE), Lempel-Ziv-Family, and Huffman coding. These algorithms analyze patterns within the image data and replace repetitive information