基于电阻抗成像的立木无损检测系统

为及时监测树木内部结构状态,提出一种基于电阻抗成像理论的活立木无损检测方法,设计一种16电极的数据采集系统。该系统以LabVIEW程序控制数据采集卡为核心,使用NI公司的USB-6361数据采集卡产生正弦交流电压信号,再将其输入压控电流源电路转换为电流激励信号。激励信号循环注入到立木表面的16个电极中,按照相邻激励-相邻测量的方式采集立木边界电压。然后,利用仪器仪表放大电路、可编程增益二级放大电路、高通滤波电路对采集的信号进行处理,以达到放大和滤波的目的。最后,通过数据采集卡模数转换后将数据上传到计算机端,采用敏感矩阵算法实现图像重建。实验结果表明,所设计系统在激励频率为1~20 kHz时,可以有效地识别立木中空洞的位置,并反映出空洞的相对尺寸和大致轮廓,能够实现基于电阻抗成像的立木无损检测。

Compressed Multi-image Reconstruction Based on Quantization Noise Distribution

Because of the quantization noise introduced during the compression,super-resolution reconstruction(SRR)techniques are complicated for the compressed images.This paper aims to incorporate the prior knowledge of discrete cosine transform(DCT)coefficients into modeling the quantization noise.The spatial covariance matrix of the quantization noise is estimated by utilizing the Laplacian distribution of the alternating current(AC)coefficients.After estimating the spatial joint covariance of overall noises for the imaging system,we propose a general Bayesian framework to enhance the resolution for compressed images.Experiments demonstrate the effectiveness of the proposed algorithm and show the superiority to previous methods in objective and subjective aspects.