This paper studies the inverse of min-plus convolution, i.e., min-plus deconvolution, in the set of non-negative, wide-sense increasing and causal functions. A sufficient condition for min-plus deconvolution to be closed in this set of functions is presented. Possible application of min-plus deconvolution to the service curve design has been discussed. Key-Words: Min-plus convolution, inverse p...

Blind deconvolution problems arise in many image restoration applications. Most available blind deconvolution methods are iterative. Recently, Justen and Ramlau proposed a novel non-iterative blind deconvolution method. The method was derived under the assumption of periodic boundary conditions. These boundary conditions may introduce oscillatory artifacts into the computed restoration. We desc...

Inverse problems involve estimating parameters or data from inadequate observations; the observations are often noisy and contain incomplete information about the target parameter or data due to physical limitations of the measurement devices. Consequently, solutions to inverse problems are non-unique. To pin down a solution, we must exploit the underlying structure of the desired solution set....

introduction: hydronephrosis is one of the major causes of referring infants for nuclear medicine investigation. renal dynamic study is the most reliable investigation for such children. however direct evaluation of renogram leads to generation of parameters that have no physiological interpretation. the configuration of renogram is very much dependent upon the rate at which radiopharmaceutical...

Images obtained by using a high-angle annular dark-field (HAADF) detector in the scanning transmission electron microscope (STEM) are able to resolve atomic columns of crystalline materials [1]. This imaging is believed to be incoherent and described as a convolution of a scattering distribution and an electron probe [2]. Therefore, any deconvolution techniques may improve image resolution by e...