We used the wavelet representation of an image for multiresolution processing. As the resolution of an object was decreased we maintained the signal-to-noise ratio (SNR) at the highest resolution by changing the support region of a binary phase-only filter (BPOF). In this way we were able to decrease the resolution by a factor of four while maintaining the SNR at the full resolution for our test image. Although the SNR remained constant as the resolution decreased, the peak-to- correlation energy decreased. The processing of an object at a lower resolution is significant because it corresponds to processing the same object in a larger image after downsampling. Due to the limited number of pixels in currently available SLMs, multiresolution processing could extend there usefulness.