Improvement of Bit Error Rate in Holographic Data Storage Using the Extended High-Frequency Enhancement Filter
Optimized image restoration is suggested in angular-multiplexing-page-based holographic data storage. To improve the bit error rate (BER), an extended high frequency enhancement filter is recalculated from the point spread function (PSF) and Gaussian mask as the image restoration filter. Using the e...
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Veröffentlicht in: | Japanese Journal of Applied Physics 2013-09, Vol.52 (9), p.09LD06-09LD06-8 |
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container_end_page | 09LD06-8 |
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container_issue | 9 |
container_start_page | 09LD06 |
container_title | Japanese Journal of Applied Physics |
container_volume | 52 |
creator | Kim, Do-Hyung Cho, Janghyun Moon, Hyungbae Jeon, Sungbin Park, No-Cheol Yang, Hyunseok Park, Kyoung-Su Park, Young-Pil |
description | Optimized image restoration is suggested in angular-multiplexing-page-based holographic data storage. To improve the bit error rate (BER), an extended high frequency enhancement filter is recalculated from the point spread function (PSF) and Gaussian mask as the image restoration filter. Using the extended image restoration filter, the proposed system reduces the number of processing steps compared with the image upscaling method and provides better performance in BER and SNR. Numerical simulations and experiments were performed to verify the proposed method. The proposed system exhibited a marked improvement in BER from 0.02 to 0.002 for a Nyquist factor of 1.1, and from 0.006 to 0 for a Nyquist factor of 1.2. Moreover, more than 3 times faster performance in calculation time was achieved compared with image restoration with PSF upscaling owing to the reductions in the number of system process and calculation load. |
doi_str_mv | 10.7567/JJAP.52.09LD06 |
format | Article |
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To improve the bit error rate (BER), an extended high frequency enhancement filter is recalculated from the point spread function (PSF) and Gaussian mask as the image restoration filter. Using the extended image restoration filter, the proposed system reduces the number of processing steps compared with the image upscaling method and provides better performance in BER and SNR. Numerical simulations and experiments were performed to verify the proposed method. The proposed system exhibited a marked improvement in BER from 0.02 to 0.002 for a Nyquist factor of 1.1, and from 0.006 to 0 for a Nyquist factor of 1.2. 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To improve the bit error rate (BER), an extended high frequency enhancement filter is recalculated from the point spread function (PSF) and Gaussian mask as the image restoration filter. Using the extended image restoration filter, the proposed system reduces the number of processing steps compared with the image upscaling method and provides better performance in BER and SNR. Numerical simulations and experiments were performed to verify the proposed method. The proposed system exhibited a marked improvement in BER from 0.02 to 0.002 for a Nyquist factor of 1.1, and from 0.006 to 0 for a Nyquist factor of 1.2. 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To improve the bit error rate (BER), an extended high frequency enhancement filter is recalculated from the point spread function (PSF) and Gaussian mask as the image restoration filter. Using the extended image restoration filter, the proposed system reduces the number of processing steps compared with the image upscaling method and provides better performance in BER and SNR. Numerical simulations and experiments were performed to verify the proposed method. The proposed system exhibited a marked improvement in BER from 0.02 to 0.002 for a Nyquist factor of 1.1, and from 0.006 to 0 for a Nyquist factor of 1.2. Moreover, more than 3 times faster performance in calculation time was achieved compared with image restoration with PSF upscaling owing to the reductions in the number of system process and calculation load.</abstract><pub>The Japan Society of Applied Physics</pub><doi>10.7567/JJAP.52.09LD06</doi></addata></record> |
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title | Improvement of Bit Error Rate in Holographic Data Storage Using the Extended High-Frequency Enhancement Filter |
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