In very well-lit areas, our digital images are often overexposed, washed out with light, the details lost. Such loss of information is critical in image recognition techniques. The PST (Phase Stretch Transform) algorithm , developed at the university of California, considerably improves the processing of overexposed images and allows computers to distinguish details which are lost in standard images. PST is based on a proven Analog to Digital conversion technique for very wide band signals (