计算光谱成像技术相比较传统光谱成像技术具有高通量、快照成像等优点，但由于色散元件的存在，同样受到谱线弯曲的影响.为了研究谱线弯曲对计算光谱成像系统信号采集、图谱混叠与重构结果的影响，结合系统原理及重构算法，分析计算了不同谱线偏移量下系统重构图像的相对峰值信噪比及复原光谱曲线的最大偏差.实验结果表明，谱线弯曲引起的探测器采样信号的光谱偏离会导致图谱混叠程度的变化，与没有谱线弯曲的情况相比，重构结果出现明显的偏差，复原光谱曲线两侧趋于平滑.对于光谱分辨率为10 nm的计算光谱成像系统，为了高准确度的复原目标场景，谱线弯曲引起的光谱偏移量应控制在半个像元以内.

Compared to conventional imaging spectrometry, computational imaging spectrometry has the advantages of high throughput snapshot imaging etc. But because of the presence of the dispersive element, computational imaging spectrometry suffers the effect of spectral line bending. To study the effect of spectral line bending on signal acquisition, spatialspectral aliasing and reconstructed result in computational imaging spectrometry, combined with the principle of computational imaging spectrometry and reconstruction algorithm, the relative peak signaltonoise ratio of the reconstructed image and the maximal error of the reconstructed spectral curve with different spectral offset were calculated and analyzed. The experimental result showed that spectral offset of the signal acquired by the detector will change the degree of spatialspectral aliasing. The reconstructed results with spectral line bending exhibit distinct errors compared with no spectral line bending. And both sides of the reconstructed spectral curve tend to smooth. In order to reconstruct the object scene with high accuracy, spectral offset should be no more than half a pixel for computational imaging spectrometry with 10 nm resolution.