Reconstruction algorithms are computational methods used to restore or approximate data from incomplete or indirect measurements, frequently applied in fields like medical imaging, signal processing, and computer vision. These algorithms aim to improve data quality, enhance resolution, and extract meaningful information from noisy or limited datasets, leveraging mathematical models and optimization techniques.