The Poisson Impulse Accumulation Process model is proposed, which describes sampled image signals detected by charged particle beam equipment with a stochastic process. Image signals can be modeled simply by accumulation of pulses in a sampling period. The pulses are generated from the random numbers which obey the Poisson distribution. Statistical analysis confirms that images generated by the model behave well like actually detected signals.