Wave-front coding techniques are being used nowadays in vision systems to obtain invariance to aberrations and,
especially, extended depth of focus capabilities. Besides using a phase mask for coding, one of the basic steps of the
method is the digital processing of the images captured by means of a pixelated sensor (for example a CCD device).
This capture process can become crucial for the overall performance of the procedures, since the effects due to the
averaging within a pixel and to the related noise inherent to the detection can be indeed the most determinant ones.
This work presents a simulation tool for fully assessing the role of a pixelated sensor in a vision system working by
wave-front coding techniques, including diffractive effects, the averaging in detection, the modeling of the noise that
might be added and the influence in the restoration algorithm. The numerical tool computes (in order): diffraction
during image formation, averaging at the pixels and digital image processing. Similarly, noise could be added to the
detection as well as other effects influencing the final image quality.
The influence of these topics in the design of the phase masks is analyzed for several cases. Our results show that the
pixelated character of the detector can not be considered a final refinement only and can not be obviated in the design
stage of phase plates for wave-front coding.