Methods for background and noise suppression in binary to grayscale image conversion

A method for converting a binary image to a grayscale image and suppressing noise in the grayscale image, comprising:

• receiving an input of the binary image comprising binary pixels;
• for each binary pixel:
• associating the binary pixel with a neighbor map;
• converting the neighbor map to a weighting value;
• filtering the neighbor map to produce a first grayscale pixel value;
• comparing the neighbor map to one or more binary patterns of a conversion look up table to produce a second grayscale pixel value;
• multiplying an inverted weighting value by the first grayscale pixel value to produce a first weighted grayscale pixel value;
• multiplying the weighting value by the second grayscale pixel value to produce a second weighted grayscale pixel value;
• and
• summing the first weighted grayscale pixel value and the second weighted grayscale pixel value to produce a grayscale pixel and suppress noise.