为了在现有的采样条件下,通过新的压缩采样方式获得计算量小且质量更好的图像,提出了基于压缩感知与扩展小波树的自适应压缩成像方法。首先将图像投影到分区控制的DMD上,获得图像在低分辨率下的测量值,并通过压缩感知重构算法重构出低...为了在现有的采样条件下,通过新的压缩采样方式获得计算量小且质量更好的图像,提出了基于压缩感知与扩展小波树的自适应压缩成像方法。首先将图像投影到分区控制的DMD上,获得图像在低分辨率下的测量值,并通过压缩感知重构算法重构出低分辨图像,接着利用扩展小波树预测重要小波位置,通过DMD在小波域采样获取图像的细节信息,最后由小波逆变换恢复高分辨率图像。将该方法与最小化全变分算法(TVAL3)和近来提出的基于扩展小波树的自适应成像算法(EWT-ACS)效果进行对比,实验结果表明,以boat图像为例,在压缩感知采样率为0. 75,整体采样率为10%的无噪声条件下,该方法相较于TVAL3、EWT-ACS算法信噪比提高了4. 63 d B和2. 87 d B,在附加噪声条件下成像效果也较好。该方法能极大地降低压缩感知重建算法的运行时间,同时减少采样次数,具有较好的抗噪性。展开更多
In this Letter,free-space optical（FSO） communication using patterned modulation and bucket detection is introduced to improve the bit error rate（BER）performance in complex and noisy environments.The scattered ligh...In this Letter,free-space optical（FSO） communication using patterned modulation and bucket detection is introduced to improve the bit error rate（BER）performance in complex and noisy environments.The scattered light is averaged in this communication structure.Second-order correlation,wavelet normalization,and compressed sensing are combined in the reconstruction algorithm.A signal with.V bits is reconstructed well from much less than N measurements.Numerical simulations and experiments are performed without the narrowband optical filters used in traditional FSO communication.It can also be employed in real networks where secure communication is required.This provides the great opportunity to pave the way for real applications of FSO communication.展开更多
文摘为了在现有的采样条件下,通过新的压缩采样方式获得计算量小且质量更好的图像,提出了基于压缩感知与扩展小波树的自适应压缩成像方法。首先将图像投影到分区控制的DMD上,获得图像在低分辨率下的测量值,并通过压缩感知重构算法重构出低分辨图像,接着利用扩展小波树预测重要小波位置,通过DMD在小波域采样获取图像的细节信息,最后由小波逆变换恢复高分辨率图像。将该方法与最小化全变分算法(TVAL3)和近来提出的基于扩展小波树的自适应成像算法(EWT-ACS)效果进行对比,实验结果表明,以boat图像为例,在压缩感知采样率为0. 75,整体采样率为10%的无噪声条件下,该方法相较于TVAL3、EWT-ACS算法信噪比提高了4. 63 d B和2. 87 d B,在附加噪声条件下成像效果也较好。该方法能极大地降低压缩感知重建算法的运行时间,同时减少采样次数,具有较好的抗噪性。
基金supported by the Seventh Six-Talent Peak Project of Jiangsu Province(No.2014-DZXX-007)the National Natural Science Foundation of China(No.61271332)+2 种基金the Fundamental Research Funds for the Central Universities(No.30920140112012)the Innovation Fund Project for Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education(No.JYB201509)the Fund Project for Low-Light-Level Night Vision Laboratory(No.J20130501)
文摘In this Letter,free-space optical（FSO） communication using patterned modulation and bucket detection is introduced to improve the bit error rate（BER）performance in complex and noisy environments.The scattered light is averaged in this communication structure.Second-order correlation,wavelet normalization,and compressed sensing are combined in the reconstruction algorithm.A signal with.V bits is reconstructed well from much less than N measurements.Numerical simulations and experiments are performed without the narrowband optical filters used in traditional FSO communication.It can also be employed in real networks where secure communication is required.This provides the great opportunity to pave the way for real applications of FSO communication.
