C. Y. ChenC. C. FuTZI-DAR CHIUEH2018-09-102018-09-102008-121559128Xhttp://scholars.lib.ntu.edu.tw/handle/123456789/343120https://www.scopus.com/inward/record.uri?eid=2-s2.0-60949095728&doi=10.1364%2fAO.47.006784&partnerID=40&md5=8fefed63064b2b2b0ccd9853c759d90aThis paper presents an efficient solution to recovering data pixels of images that have undergone optical and electrical channel impairments in holographic data storage systems. The channel impairments considered include interpixel interference, three types of misalignment, and noise. The proposed misalignment-compensation scheme, consisting of realignment and rate conversion, can effectively eliminate misalignment with more than 84% reduction in additions and 74% reduction in multiplications. In addition, several low-complexity techniques are introduced to reduce the complexity of a two-dimensional maximum a posteriori pixel detection method by up to 95% and do so with negligible degradation in detection performance. © 2008 Optical Society of America.Alignment; Data storage equipment; Digital storage; Holography; Nonvolatile storage; Pixels; Channel impairment; Detection methods; Detection performance; Electrical channels; Holographic data storage; Holographic data storage systems; Maximum a posteriori; Misalignment compensation; Optical data storageLow-complexity pixel detection for images with misalignment and interpixel interference in holographic data storagejournal article10.1364/ao.47.0067842-s2.0-60949095728WOS:000262494800011