Countering Stryker’s Punch: Algorithmically Filling the Black Hole
Two current digital image editing programs are examined in the context of filling in missing visual image data from hole-punched United States Farm Security Administration (FSA) negatives. Specifically, Photoshop's Content-Aware Fill feature and GIMP's Resynthesizer plugin are evaluated an...
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| Format: | Article |
| Language: | English |
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Code4Lib
2017-07-01
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| Series: | Code4Lib Journal |
| Online Access: | http://journal.code4lib.org/articles/12542 |
| Summary: | Two current digital image editing programs are examined in the context of filling in missing visual image data from hole-punched United States Farm Security Administration (FSA) negatives. Specifically, Photoshop's Content-Aware Fill feature and GIMP's Resynthesizer plugin are evaluated and contrasted against comparable images. A possible automated workflow geared towards large scale editing of similarly hole-punched negatives is also explored. Finally, potential future research based upon this study's results are proposed in the context of leveraging previously-enhanced, image-level metadata. |
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| ISSN: | 1940-5758 |