使用一个6×6多模干涉耦合器的全光域图像压缩

Bùi Thị Thùy, Le Trung Thanh
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引用次数: 0

摘要

提出了一种基于全光域Haar小波变换(HWT)的图像压缩新方法。该架构基于Haar光小波变换,仅使用一个6×6多模干涉(MMI)耦合器。通过确定输入、输出波导的位置和优化MMI的设计长度,得到了期望的Haar变换矩阵。新的硬件架构适合与数码相机直接集成进行图像处理。因此,图像的处理速度非常快。我们的方法也可以应用于大数据分析中的数据压缩。我们的结构可以提供与CMOS现有技术兼容的大制造公差。仿真结果表明,±2µm的长度变化仍能保持输出功率不变。我们已经成功地模拟了使用所提出的HWT压缩相机图像,压缩比分别为20%,30%和50%,MSE和PSNR分别为0.1 - 0.3和62 - 67 dB。
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Image compression in all-optical domain using one 6×6 multimode interference coupler
We present a new method for image compression using the Haar wavelet transform (HWT) in all-optical domain. The proposed architecture is based on the optical Haar wavelet transform using only one 6×6 multimode interference (MMI) coupler. By locating the positions of input and output waveguides and optimizing design length of the MMI, the expected matrix of the Haar transform is obtained. The new hardware architecture is suitable for directly integrating with digital cameras for image processing. The processing of images therefore is at very high speed. Our method can also be applied to data compression in big data analytics. Our structure can provide a large fabrication tolerance which is compatible with the CMOS existing technology. Our simulations show that the length variation of ± 2 µm still keeps the output powers unchanged. We have simulate successfully the use of the proposed HWT to compress cameraman image with the compressed ratios of 20, 30, 50 % with MSE and PSNR from 0.1 - 0.3 and 62 – 67 dB, respectively.  
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