image reconstruction algorithms

Image reconstruction algorithms are techniques used to create a visual image from raw data. These algorithms take incomplete or distorted information, often collected through methods like CT scans or MRI, and piece it together to produce a clearer picture. They utilize mathematical models to enhance details and reduce noise, enabling accurate representation. Essentially, they transform the fragmented input data into a recognizable image, helping in various fields like medicine, photography, and remote sensing. By improving image quality, these algorithms can significantly aid in diagnosis, analysis, and understanding of complex structures.