An intelligent distortion-detection algorithm for restoring data in a holographic data storage system

In a holographic data storage system (HDSS), misalignment of the optical components causes data distortion, including barrel, pincushion, and rotation distortion. Because holographic data storage systems are very sensitive, misalignment inevitably results in data distortion. It is important to acquire accurate distortion-free data from a HDSS system. This paper proposes an intelligent distortion-detection algorithm for restoring data in HDSSs. We used a fuzzy system and subtractive clustering algorithm to generate fuzzy rules for the detection algorithm. The proposed algorithm determines a value indicating how distorted the data image is. Using this algorithm, it is possible to compensate for data distortion. A simulation performed well using barrel, pincushion and rotation images.