In this paper, six spectral extraction algorithms are analyzed and compared in LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) two-dimensional spectral images. The compared algorithms include the aperture extracion method, profile-fitting method, direct deconvolution method, Tikhonov deconvolution method, deconvolution extraction based on adaptive Landweber iteration method, and deconvolution extraction based on Richardson-Lucy iteration method. The six algorithms are compared in the aspects of signal-to-noise ratio (SNR) and resolution. It can be found that the Tikhonov deconvolution method, deconvolution extraction based on adaptive Landweber iteration method, and deconvolution extraction based on Richardson-Lucy iteration method are the most reliable algorithms among them. Finally, the future work is proposed.