Restoration Algorithm And Their Experimental Verification For Diffractive Optic Imaging Spectrometer

Diffractive optics imaging spectrometer has a good prospect in field such as leakageof liquefied petroleum gas detection, SF6detection, battlefield smoke detection. In thispaper, we study its working principle, establish its mathematical models, according to theimage aliasing rules, research image restoration algorithms which restoring objectinformation from gathered pictures, and proving by experiments.First, describes background and research significance, the research at home andabroad in terms of diffractive optical imaging spectrometer, outlining the content of thispaper.Then, starting from the dispersion and imaging properties of diffraction lenses,describe the images acquisition process of diffractive optical imaging spectrometer and themathematical model of the system. Analysis the point spread function of an aberration-freecharacterization system, derivation calculation method of system spectral resolution.Analysis problems caused by transverse magnifying rate changing with the wavelength,and propose its solution.According to the image aliasing rules of each band, chose appropriate imagerestoration algorithm to restore the object. On the base of introduce and comparativeanalysis image restoration theory of neighborhood method and limited iterative method,propose that regularization inverse filter method could be used in image restoration. Pointit that the regularization inverse filtering method can get a better result than neighborhoodmethod, in a shorter time than limited iteration method.Finally, recommend the verification experiment of image restoration algorithm.Describe the designation and manufacture of experimental diffraction lenses, progress ofexperiments, and imaging restoration effectiveness. Analysis and comparenearest-neighbor method effect with regularized inverse filter method effect and effect ofJVC method, summarizes the merits and demerits of the three ways. The fifth chapter summarizes the work, make suggestions of the next step of work.