maximum entropy reconstruction

Maximum entropy reconstruction is a method used to recover missing or incomplete information—like images or signals—by choosing the most unbiased solution that aligns with known data. It works on the principle of not assuming anything unnecessary beyond what’s already given, ensuring the reconstructed data is as smooth and natural as possible. This approach helps produce the most "neutral" estimate, avoiding unwarranted assumptions or artifacts, and is especially useful in fields like image processing, astronomy, and signal analysis to improve clarity and accuracy when data is limited or noisy.