Abstract: A method for image processing is provided. The method includes: obtaining an image including a table; generating a skeleton graph associated with the table and including a plurality of edges; identifying a first terminal vertex on the plurality of edges; generating a first region of interest for the first terminal vertex; determining a first target within the first region of interest; and repairing the table by adding a first artificial edge between the first terminal vertex and the first target to the skeleton graph.

Abstract: A method for image processing includes obtaining a mask from an image; identifying, in the mask, a first stroke segment and a second stroke segment for possible merging; determining that the first stroke segment comprises a first plurality of cross edges that overlaps a second plurality of cross edges in the second stroke segment; identifying a plurality of cross edge pairs from the first plurality of cross edges and the second plurality of cross edges; determining a count of the plurality of cross edge pairs that satisfy a maximum width tolerance value of the first stroke segment; and merging the first stroke segment and the second stroke segment based on the count.

Abstract: A method for image processing includes obtaining a mask of an image; identifying, in the mask, a first stroke segment and a second stroke segment for possible merging, wherein the first stroke segment and the second stroke segment do not overlap; calculating a plurality of merger eligibility scores for the first stroke segment and the second stroke segment; calculating an aggregate merger eligibility score for the first stroke segment and the second stroke segment based on the plurality of merger eligibility scores; and merging the first stroke segment and the second stroke segment based on the aggregate merger eligibility score.

Abstract: A method for image processing includes obtaining a mask of a stroke from an image and identifying a plurality of cross edges for the stroke based on the mask and a reference line. The plurality of cross edges includes a group of adjacent cross edges that intersect the reference line. The method further includes (a) calculating a first vector based on positions of at least two of the cross edges in the group, (b) expanding the group, based on the first vector, to include cross edges adjacent to the group that do not intersect the reference line, (c) calculating a second vector based on positions of at least two of the cross edges in the expanded group, and (d) expanding the expanded group, based on the second vector, to include a second group of adjacent cross edges nearby the expanded group that do not intersect the reference line.

Abstract: A method for image processing includes obtaining a mask of a stroke from an image; determining a plurality of cross edges for the stroke based on the mask; generating a histogram comprising a plurality of widths of the cross edges and a plurality of frequencies of the plurality of widths from the cross edges; estimating a lower bound of a width range for the stroke based on a mode width of the plurality of widths, a first subset of the plurality of widths below the mode width, and a first plurality of weights assigned to the first subset of the plurality of widths; and estimating an upper bound of the width range for the stroke based on the mode width, a second subset of the plurality of widths above the mode width, and a second plurality of weights assigned to the second subset of the widths.

Abstract: A method for redacting an electronic document (ED) having a file format, including: obtaining a request to redact a sensitive data item in the ED; identifying a first and a second instance of the sensitive data item in a markup of the ED, where the second instance of the sensitive data item is not visible in a rendered version of the ED; and generating a redacted ED having the file format by replacing the first and the second instance of the sensitive data item with a neutral data item.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first line corresponding to the table in the image, a first confidence value for the first line, and a first angle for the first line; initiating a plurality of angle bins corresponding to multiple angles; calculating, based on the first confidence value, a first plurality of bin values for a first subset of the plurality of angle bins within a window surrounding the first angle; adding the first plurality of bin values to the first subset of the plurality of angle bins; identifying an angle bin of the plurality of angle bins having a maximum bin value; and rotating the image based on the angle bin having the maximum bin value.

Abstract: A method for image processing includes obtaining a mask from an image; identifying, in the mask, a first stroke segment and a second stroke segment for possible merging; determining that the first stroke segment comprises a first plurality of cross edges that overlaps a second plurality of cross edges in the second stroke segment; identifying a plurality of cross edge pairs from the first plurality of cross edges and the second plurality of cross edges; determining a count of the plurality of cross edge pairs that satisfy a maximum width tolerance value of the first stroke segment; and merging the first stroke segment and the second stroke segment based on the count.

Abstract: A method for image processing includes obtaining a mask of an image; identifying, in the mask, a first stroke segment and a second stroke segment for possible merging, wherein the first stroke segment and the second stroke segment do not overlap; calculating a plurality of merger eligibility scores for the first stroke segment and the second stroke segment; calculating an aggregate merger eligibility score for the first stroke segment and the second stroke segment based on the plurality of merger eligibility scores; and merging the first stroke segment and the second stroke segment based on the aggregate merger eligibility score.

Abstract: A method for image processing includes obtaining a mask of a stroke from an image and identifying a plurality of cross edges for the stroke based on the mask and a reference line. The plurality of cross edges includes a group of adjacent cross edges that intersect the reference line. The method further includes (a) calculating a first vector based on positions of at least two of the cross edges in the group, (b) expanding the group, based on the first vector, to include cross edges adjacent to the group that do not intersect the reference line, (c) calculating a second vector based on positions of at least two of the cross edges in the expanded group, and (d) expanding the expanded group, based on the second vector, to include a second group of adjacent cross edges nearby the expanded group that do not intersect the reference line.

Abstract: A method for image processing includes obtaining a mask of a stroke from an image; determining a plurality of cross edges for the stroke based on the mask; generating a histogram comprising a plurality of widths of the cross edges and a plurality of frequencies of the plurality of widths from the cross edges; estimating a lower bound of a width range for the stroke based on a mode width of the plurality of widths, a first subset of the plurality of widths below the mode width, and a first plurality of weights assigned to the first subset of the plurality of widths; and estimating an upper bound of the width range for the stroke based on the mode width, a second subset of the plurality of widths above the mode width, and a second plurality of weights assigned to the second subset of the widths.

Abstract: A method for redacting an electronic document (ED) having a file format, including: obtaining a request to redact a sensitive data item in the ED; identifying a first instance and a second instance of the sensitive data item in a markup of the ED, where the second instance of the sensitive data item is not visible in a rendered version of the ED; and generating a redacted ED having the file format by: replacing the first instance of the sensitive data item and the second instance of the sensitive data item with a neutral data item, and inserting, into the markup, an encrypted version of the sensitive data item at a first location.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first plurality of geometric lines in the image; grouping the first plurality of geometric lines into a plurality of clusters; determining a plurality of hand-drawn lines in the image corresponding to the table from the plurality of clusters; calculating a plurality of points for the plurality of hand-drawn lines; and determining a geometry of the table based on the plurality of points.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first plurality of geometric lines in the image; grouping the first plurality of geometric lines into a plurality of clusters; determining a plurality of hand-drawn lines in the image corresponding to the table from the plurality of clusters; calculating a plurality of points for the plurality of hand-drawn lines; and determining a geometry of the table based on the plurality of points.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first line corresponding to the table in the image, a first confidence value for the first line, and a first angle for the first line; initiating a plurality of angle bins corresponding to multiple angles; calculating, based on the first confidence value, a first plurality of bin values for a first subset of the plurality of angle bins within a window surrounding the first angle; adding the first plurality of bin values to the first subset of the plurality of angle bins; identifying an angle bin of the plurality of angle bins having a maximum bin value; and rotating the image based on the angle bin having the maximum bin value.

Abstract: A method for converting color data includes reading from a memory the color data represented in a first color space; converting the color data into un-premultiplied color data; converting the un-premultiplied color data from the first color space to a second color space; converting the un-premultiplied color data in the second color space into first premultiplied color data; and writing the first premultiplied color data to the memory.

Abstract: A method for converting color data includes reading from a memory the color data represented in a first color space; converting the color data into un-premultiplied color data; converting the un-premultiplied color data from the first color space to a second color space; converting the un-premultiplied color data in the second color space into first premultiplied color data; and writing the first premultiplied color data to the memory.

Abstract: A method for redacting an electronic document (ED) having a file format, including: obtaining a request to redact a sensitive data item in the ED; identifying a first instance and a second instance of the sensitive data item in a markup of the ED, where the second instance of the sensitive data item is not visible in a rendered version of the ED; and generating a redacted ED having the file format by: replacing the first instance of the sensitive data item and the second instance of the sensitive data item with a neutral data item, and inserting, into the markup, an encrypted version of the sensitive data item at a first location.

Abstract: A method for redacting an electronic document (ED) having a file format, including: obtaining a request to redact a sensitive data item in the ED; identifying a first and a second instance of the sensitive data item in a markup of the ED, where the second instance of the sensitive data item is not visible in a rendered version of the ED; and generating a redacted ED having the file format by replacing the first and the second instance of the sensitive data item with a neutral data item.

Abstract: Systems and methods consistent with some embodiments presented provide methods for print resource management. In some embodiments of methods for print resource management print data comprising PDL data may be parsed to identify reusable resources in the print data. The reusable resources may be converted to a common internal format and stored. In some embodiments, reusable resources may be rendered to obtain a rendered version of the reusable resource, which may be stored. In some embodiments, the stored rendered version or a rendered form of the stored formatted version of the reusable resource may be used in a bitmap image for a page whenever the reusable resource is referenced during the creation of the bitmap image for the page.