Blind image restoration for MMW radiometer based on wavelet techniques

Important earth surface parameters are detected and monitored by airborne and spaceborne radiometers. In the other hand, a poor inherent resolution capability of the passive millimeter-wave (PMMW) imaging becomes a problem in many applications. To obtain highand super-resolution PMMW imaging, an efficient restoration processing is essential. We have researched deconvolution technique to improve the spatial resolution of the MMW radiometer. In this paper, the blind deconvolution technique is employed to get the high resolution radiometer imaging. The point spread function (PSF) of the radiometer is assumed to be unknown and estimated from the observation data through experiment. Then the deconvolution processing is performed using the estimated PSF. As the deconvolution methods, the several techniques were employed; wavelet regularized deconvolution, wavelet maximum entropy methods, wiener filtering. In the result images, the wavelet based techniques showed higher resolution than the others. The performance of developed algorithms is illustrated on experimental data obtained by the scanning imaging radiometer at 94 GHz. Keywords-passive millimeter-wave imaging, image restoration