改善光學(xué)掃描全息聚焦層圖像效果的實驗研究
發(fā)布時間:2018-11-17 07:33
【摘要】:為了改善光學(xué)掃描全息系統(tǒng)聚焦層重建圖像的效果,采用隨機相位光瞳替代傳統(tǒng)針孔光瞳的方法,進行了理論的分析和實驗驗證,分別得到了傳統(tǒng)光學(xué)掃描全息和基于隨機相位編碼的光學(xué)掃描全息系統(tǒng)下重建圖像和原圖像之間的信噪比、相關(guān)系數(shù)以及頻譜分布比較結(jié)果。結(jié)果表明,在實驗條件相同的情況下,基于隨機相位編碼的光學(xué)掃描全息系統(tǒng)重建的圖像具有更高的信噪比和相關(guān)系數(shù),且其圖像頻譜和原圖像頻譜曲線的變化趨勢更相似,因而更接近于原圖像。
[Abstract]:In order to improve the effect of focusing layer reconstruction in optical scanning holographic system, the random phase pupil is used to replace the traditional pinhole pupil, and the theoretical analysis and experimental verification are carried out. The comparison results of SNR, correlation coefficient and spectrum distribution between reconstructed image and original image under conventional optical scanning holography and optical scanning holography based on random phase coding are obtained respectively. The results show that under the same experimental conditions, the reconstructed image based on random phase coding has higher SNR and correlation coefficient, and the variation trend of the image spectrum is more similar to that of the original image spectrum. Therefore, it is closer to the original image.
【作者單位】: 四川大學(xué)電子信息學(xué)院;
【基金】:國家自然科學(xué)基金資助項目(61475104;61177009)
【分類號】:O438.1
本文編號:2336976
[Abstract]:In order to improve the effect of focusing layer reconstruction in optical scanning holographic system, the random phase pupil is used to replace the traditional pinhole pupil, and the theoretical analysis and experimental verification are carried out. The comparison results of SNR, correlation coefficient and spectrum distribution between reconstructed image and original image under conventional optical scanning holography and optical scanning holography based on random phase coding are obtained respectively. The results show that under the same experimental conditions, the reconstructed image based on random phase coding has higher SNR and correlation coefficient, and the variation trend of the image spectrum is more similar to that of the original image spectrum. Therefore, it is closer to the original image.
【作者單位】: 四川大學(xué)電子信息學(xué)院;
【基金】:國家自然科學(xué)基金資助項目(61475104;61177009)
【分類號】:O438.1
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