Abstract:
A numerical method for deconvoluting one-dimensional optical imaging is described along with its algorithm. This method can be very successfully used for archieving image enhancement and restoration with minimized noise, spurious as well as systematic, in the case of spectroscopic and photometric data in optical or infrared astronomy. An example has been given to illustrate the importance of the smoothing and restoration parameters in the method