;This study proposes a method to reconstruct the original spectrum from spectrometer measurements, which are often distorted due to instrument response and optical convolution effects. In the experiment, broadband white light with a continuous spectrum is passed through a monochromator to produce narrowband visible light, which is then measured and analyzed using a spectrometer. The monochromator scans specific wavelengths by rotating its diffraction grating to adjust the central wavelength. However, due to the limited resolution of the optical system, each pixel receives an integrated signal from neighboring wavelengths, resulting in a measured spectrum that is the convolution of the original spectrum and the instrument response. To recover the original spectrum, the measured data is transformed into the frequency domain using the Fourier transform, and the system response is analyzed, with particular attention to the characteristics of the Sinc function resulting from the Fourier transform of a rectangular window. Since the Sinc function becomes zero at certain frequencies, direct division in the frequency domain tends to amplify noise. Therefore, this study introduces the Tikhonov Regularization method to suppress noise generated during the deconvolution process.
