Method and device for generating a privatized electronic image for a plurality of electronic documents
A set of electronic documents, such as emails, may include private information. A privatized image is generated to represent the set of electronic documents by identifying probable-pixel and proven-pixel locations within a subset of images. The subset of images is used to create blurred and obfuscated image having the private information distorted.
1. A method for generating a privatized image corresponding to a set of electronic documents having private information within the documents, the method comprising:
converting each electronic document to an image file to generate a plurality of image files;
forming a set of images from the plurality of image files, wherein the set of images includes private pixels containing private information within the electronic documents;
determining a location collection of the private pixels for each unique pair of images within the set of images;
determining a subset of private images from the set of images according to the location collection of private pixels;
generating an average image from the subset of private images;
generating a difference array for at least one location of private pixels within the average image;
blurring the average image; and
copying the pixels of the blurred average image to the location of private pixels to generate a representative image of the plurality of images, wherein the representative image includes none of the private information identified by the private pixels.
2. The method of claim 1 , further comprising stirring the pixels within the blurred average image by randomly moving around the pixels.
3. The method of claim 1 , further comprising overlaying a separate image onto the pixels of the blurred average image at the location of the private pixels, wherein the separate image contains no pixels from the average image or the blurred average image.
4. The method of claim 1 , wherein the generating the difference array includes determining a location collection of the private pixels between each private image within the subset of private images and the average image.
5. The method of claim 1 , wherein the generating the difference array step includes determining at least one proven-private pixel at the at least one location.
6. The method of claim 5 , further comprising determining at least one probable-private pixel based on the at least one proven-private pixel.
7. The method of claim 1 , wherein the electronic documents are emails.
8. The method of claim 1 , wherein private pixels include probable-private pixels and proven-private pixels.
9. The method of claim 8 , wherein proven-private pixels include pixels that differ between the set of images.
10. A method for generating a representative electronic document representing a plurality of electronic documents, the method comprising:
determining a subset of private images within the plurality of electronic documents based upon differences between pixels within each private image pair, wherein the differences relate to private information represented by the pixels within the electronic documents;
calculating an average image from the subset of images;
determining at least one location of proven-private pixels within the average image;
determining at least one location of probable-private pixels within the average image;
blurring pixels within the locations of probable-private and proven-private pixels;
randomly moving the blurred pixels within a region around the locations of probable-private and proven-private pixels; and
copying the blurred pixels into the average image to generate a representative image of the plurality of electronic documents.
11. The method of claim 10 , further comprising determining a location collection of the private pixels for the plurality of electronic documents to determine the differences between the pixels.
12. The method of claim 10 , further comprising overlaying a separate image onto the blurred pixels, wherein the separate image contains no pixels from the average image or the blurred pixels.
13. The method of claim 10 , wherein the determining the at least one location of probable-private pixels within the average image includes identifying a group of pixels adjacent the at least one location of proven-private pixels.
14. The method of claim 10 , further comprising converting the plurality of electronic documents into the subset of private images.
15. A computing device for generating a privatized image corresponding to a set of electronic documents having private information within the documents, the computing device comprising one or more processors, one or more computer-readable storage devices, and program instructions stored on at least one of the one or more computer-readable storage devices for execution by at least one of the one or more processors, wherein the program instructions configure the one or more processors to
convert each electronic document to an image file to generate a plurality of image files;
form a set of images from the plurality of image files, wherein the set of images include private pixels containing private information within the electronic documents;
determine a location collection of the private pixels for each unique pair of images within the set of images;
determine a subset of private images from the set of images according to the location collection of private pixels;
generate an average image from the subset of private images;
generate a difference array for at least one location of private pixels within the average image;
blur the average image; and
copy the pixels of the blurred average image to the location of private pixels to generate a representative image of the plurality of images, wherein the representative image includes none of the private information identified by the private pixels.
16. The computing device of claim 15 , further comprising program instructions, stored on at least one of the one or more computer-readable storage devices for execution by the one or more processors to configure the one or more processors to stir the pixels within the blurred average image by randomly moving around the pixels.
17. The computing device of claim 15 , further comprising program instructions, stored on at least one of the one or more computer-readable storage devices for execution by the one or more processors to configure the one or more processors to overlay a separate image onto the pixels of the blurred average image at the location of the private pixels, wherein the separate image contains no pixels from the average image or the blurred average image.
18. The computing device of claim 15 , further comprising program instructions, stored on at least one of the one or more computer-readable storage devices for execution by the one or more processors to configure the one or more processors to generate the difference array by determining a location collection of the private pixels between each private image within the subset of private images and the average image.