TY - GEN
T1 - Intelligence compensation algorithm for data restoration in holographic data storage system
AU - Jeong, Wooyoung
AU - Kim, Jang Hyun
AU - Lim, Sung Yong
AU - Lee, Jae Seong
AU - Yang, Hyunseok
AU - Park, No Cheol
AU - Park, Young Pil
AU - Park, Kyoung Su
PY - 2013
Y1 - 2013
N2 - In holographic data storage system, misalignment of optical components causes fluctuation of path and angle of laser. These phenomena generate data distortion like rotation, barrel, pincushion and mustache distortion, because holographic data storage system has very sensitive tolerance with incident angle of reference beam. Because it is difficult to align perfectly, data distortion occurs inevitably by misalignment. It is important to acquire accurate data page from holographic data storage system without distortion. In this paper, we propose intelligence compensation algorithm for data restoration in holographic data storage system. We used fuzzy system and sub-clustering algorithm to generate fuzzy rules for this compensation algorithm. This proposed algorithm acquires the value how much the data image has barrel distortion. With acquired data form this algorithm, data distortion can be compensated. Barrel image is used for this simulation and it shows good performance.
AB - In holographic data storage system, misalignment of optical components causes fluctuation of path and angle of laser. These phenomena generate data distortion like rotation, barrel, pincushion and mustache distortion, because holographic data storage system has very sensitive tolerance with incident angle of reference beam. Because it is difficult to align perfectly, data distortion occurs inevitably by misalignment. It is important to acquire accurate data page from holographic data storage system without distortion. In this paper, we propose intelligence compensation algorithm for data restoration in holographic data storage system. We used fuzzy system and sub-clustering algorithm to generate fuzzy rules for this compensation algorithm. This proposed algorithm acquires the value how much the data image has barrel distortion. With acquired data form this algorithm, data distortion can be compensated. Barrel image is used for this simulation and it shows good performance.
UR - http://www.scopus.com/inward/record.url?scp=84892643191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892643191&partnerID=8YFLogxK
U2 - 10.1115/ISPS2013-2868
DO - 10.1115/ISPS2013-2868
M3 - Conference contribution
AN - SCOPUS:84892643191
SN - 9780791855539
T3 - ASME 2013 Conference on Information Storage and Processing Systems, ISPS 2013
BT - ASME 2013 Conference on Information Storage and Processing Systems, ISPS 2013
T2 - ASME 2013 Conference on Information Storage and Processing Systems, ISPS 2013
Y2 - 24 June 2013 through 25 June 2013
ER -