1. An image apparatus with an image interpolation function, the image apparatus comprising: an image receiving module for receiving a target image; an image interpolation module connected with the image receiving module for using a probabilistic neural network model to perform an adaptive interpolation on at least one interpolation point of the object image, thereby generating an interpolated image, wherein the image interpolation module comprises: a data storage and control unit for obtaining edge direction angles, horizontal smoothing parameters and vertical smoothing parameters of plural reference points neighboring the at least one interpolation point; at least one Gaussian function computing unit connected with the data storage and control unit for obtaining an anisotropic Gaussian function value of each reference point of the plural reference points according to the corresponding edge direction angle, the corresponding horizontal smoothing parameter, the corresponding vertical smoothing parameter and a distance between each reference point and the interpolation point; and a statistics computing unit connected with the Gaussian function computing unit for performing a statistics method to integrate and compute the anisotropic Gaussian function values of the plural reference points, thereby generating and outputting an interpolation value of the interpolation point; and an image output module connected with the image interpolation module for outputting the interpolated image, wherein the at least one Gaussian function computing unit comprises plural Gaussian function computing units corresponding to the plural reference points, wherein each of the plural Gaussian function computing units obtains the anisotropic Gaussian function value of the corresponding reference point according to the corresponding edge direction angle, the corresponding horizontal smoothing parameter, the corresponding vertical smoothing parameter and the distance between the corresponding reference point and the interpolation point; or wherein the plural reference points are divided into plural reference point groups, and the at least one Gaussian function computing unit comprises plural Gaussian function computing units corresponding to the plural reference point groups, wherein each of the plural Gaussian function computing units obtains the anisotropic Gaussian function values of the reference points of the corresponding reference point group according to the corresponding edge direction angles, the corresponding horizontal smoothing parameters, the corresponding vertical smoothing parameters and the distances between the corresponding reference points and the interpolation point; or wherein the at least one Gaussian function computing unit comprises a single Gaussian function computing unit, and the single Gaussian function computing unit obtains the anisotropic Gaussian function values of the plural reference points sequentially according to the corresponding edge direction angles, the corresponding horizontal smoothing parameters, the corresponding vertical smoothing parameters and the distances between the corresponding reference points and the interpolation point.