Computer Vision: Image Compression and Decompression Project

This project requires the development of two computer programs: one for lossy compression and another for decompression of monochrome images. The compression program processes PGM files using a 2D Discrete Cosine Transform (DCT), quantizes the image data based on region importance, and applies variable-length coding to compress the data. The decompression program reverses this process, reconstructing the image from the compressed data. The project emphasizes the implementation of DCT, quantization, and variable-length coding techniques. The compressed data is stored in a binary file, and the compression ratio is calculated. The final output of the decompression program is a reconstructed PGM file, which is compared to the original image. The submission includes source code, a test image, a compressed binary file, and the decompressed image.