We point out a problem that exists when designing new computer vision systems that have image acquisition components: the need to estimate the capabilities of the system in real-world scenarios, before the system is ready for image acquisition. Also in ready-made instruments, it is sometimes preferable to avoid operation unless a successful outcome is likely, when the price of failure is high, as in the use of space probes. Thus the end result should be established before actual acquisition by the system. Our proposed solution to the problem is based on real images of real scenes, acquired by a pre-made high quality imaging device, whose operation is established. These images then undergo processing, which follows a meticulous understanding of the inner workings of cameras. It results in images that would be as the output result of the system about to be used. This enables estimation of subsequent computer vision tasks.