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Denoising Dirty Documents

Team: Bits_Please (cnw282, mfl340, ks5173)

Problem

Numerous scientific papers, historical documentaries/artifacts, recipes, books are stored as papers be it handwritten/typewritten. With time, the paper/notes tend to accumulate noise/dirt through fingerprints, weakening of paper fibers, dirt, coffee/tea stains, abrasions, wrinkling, etc. There are several surface cleaning methods used for both preserving and cleaning, but they have certain limits, the major one being: that the original document might get altered during the process. The purpose of this project is to do a comparative study of traditional computer vision techniques vs deep learning networks when denoising dirty documents.