MATLAB Implementation of Run-Length Encoding for Image Compression

I have developed a MATLAB-based run-length encoding program for images that effectively compresses binary images. Run-length encoding is a compression technique that converts sequences of consecutive identical pixel values into count-value pairs, thereby reducing the storage requirements for images. This implementation processes binary images by scanning pixel rows sequentially and encoding consecutive runs of identical values. The algorithm efficiently handles both black and white pixel sequences, storing the run lengths and corresponding pixel values in a compressed format. Key functions include image preprocessing for binarization, row-wise scanning mechanisms, and run-length calculation with efficient data packing. By using this program, you can significantly reduce image file sizes while preserving essential image information. The code demonstrates practical implementation of run-length encoding principles with optimized memory handling for binary image compression scenarios.