Non-Blind Barcode Deconvolution by Gradient Projection

This research examines methods of implying deconvolution to blurry barcode signals with noise. Our goal is to to take these signals and recontrust them, using Yu Mao’s method of Gradient Projection, to be as clear as possible. This research examines the work of Yu Mao [5], alumni from the University of Minnesota. Our research is motivated by Yu Mao’s findings for how to reconstruct binary functions and shapes from incomplete frequency information. The findings are significantly interesting because we are able to understand how a binary function can be reconstructed with a simple convex optimization, while only partial frequency information is available.