连续波太赫兹成像系统的单幅图像超分辨重建

针对现有的太赫兹成像系统所需硬件设备复杂且昂贵的问题，设计了基于单幅图像超分辨重建的连续波太赫兹成像系统，降低设备复杂度和硬件成本。通过对该成像系统生成的太赫兹图像进行双维度预处理，降低图像处理的占用内存，提高后续处理速度。引入限制对比度自适应直方图均衡方法对太赫兹图像进行分区域对比度提升，有效解决太赫兹图像对比度低的问题。利用稀疏表示和字典学习实现太赫兹图像的超分辨重建，提出了反余割拟牛顿平滑零范数的算法解决零范数优化问题，提高了重建精度。通过对该成像系统采集的单幅太赫兹图像进行超分辨重建，在边缘强度上提高了3.232，在平均梯度对比中提高了0.300，验证了对单幅太赫兹图像超分辨重建的有效性与优越性。

Single-image super-resolution reconstruction for continuous-wave terahertz imaging systems

To address the problem that existing terahertz imaging systems require complex and expensive hardware equipment, a continuous-wave terahertz imaging system based on single-image super-resolution reconstruction is designed to reduce equipment complexity and hardware cost. By preprocessing the terahertz images generated by this imaging system in two dimensions, the occupied memory of image processing is reduced and the speed of subsequent processing is increased. A restricted-contrast adaptive histogram equalization algorithm is introduced for sub-regional contrast enhancement of terahertz images to effectively solve the problem of low contrast of terahertz images. The super-resolution reconstruction of terahertz images is achieved by using sparse representation and dictionary learning, and the algorithm of inverse cosecant fitted with Newtonian smoothing zero parity is proposed to solve the zero-norm optimization problem and improve the reconstruction accuracy. By performing super-resolution reconstruction of single terahertz images acquired by this imaging system, the algorithm improves 3.232 in edge intensity and 0.300 in mean gradient comparison, which verifies the effectiveness and superiority of super-resolution reconstruction of single terahertz images.