Low-complexity pixel detection for images with misalignment and interpixel interference in holographic data storage | Zendy

ChiYun Chen | Zendy; ChihCheng Fu | Zendy; TziDar Chiueh | Zendy

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Low-complexity pixel detection for images with misalignment and interpixel interference in holographic data storage

Author(s) -

ChiYun Chen,

ChihCheng Fu,

TziDar Chiueh

Publication year - 2008

Publication title -

applied optics

Language(s) - English

Resource type - Journals

ISSN - 0003-6935

DOI - 10.1364/ao.47.006784

Subject(s) - pixel , computer science , holography , interference (communication) , holographic data storage , optics , computational complexity theory , reduction (mathematics) , computer data storage , noise reduction , channel (broadcasting) , compensation (psychology) , artificial intelligence , computer vision , noise (video) , materials science , algorithm , image (mathematics) , physics , telecommunications , mathematics , psychology , geometry , psychoanalysis , operating system

This 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.

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