Reading and Writing Raw Format Images

This document discusses methods for reading and writing raw format images. Raw format image files store all pixels of an image with 16-bit data per pixel, preserving original image data without any compression or encoding processing. This format is particularly suitable for maintaining image fidelity and is widely used in scientific research, medical imaging, and industrial inspection applications. Proper handling of raw format images enables further analysis and processing to extract additional image information. From an implementation perspective, reading raw images requires careful file I/O operations using appropriate data types (such as uint16 in MATLAB or unsigned short in C/C++), while considering byte order (endianness) and image dimensions. Writing raw images involves converting processed pixel data back to the 16-bit format and saving it as a binary file. Understanding correct techniques for raw image I/O is essential for image processing engineers and researchers working with uncompressed image data.