{"id":54108,"date":"2022-07-25T12:10:23","date_gmt":"2022-07-25T10:10:23","guid":{"rendered":"https:\/\/cibtestawsls.cib.de\/?p=54108"},"modified":"2023-10-05T13:12:27","modified_gmt":"2023-10-05T11:12:27","slug":"ai-super-resolution-readability-documents","status":"publish","type":"post","link":"https:\/\/cibtestawsls.cib.de\/en\/ai-super-resolution-readability-documents\/","title":{"rendered":"Improving document readability with super resolution and AI"},"content":{"rendered":"
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\n\t\t\t\t\t\t\t\t\tMore and more documents are being digitized nowadays in order to archive them or pass them on. Usually, this is done by scanning or photographing. However, poor exposure, blurriness or insufficient resolution can cause readability to be impaired. The digital document then no longer has the quality of the original. This problem can be solved with the help of an AI-based process. What\u2019s behind it? \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Document digitization should not affect reading comfort <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tA central part of the digital transformation is the conversion of paper documents into digital formats such as PDF. This is because only digitally available information can be easily archived, retrieved, sent, received and used smoothly in business processes. In some cases, however, the digitization process also presents difficulties. For example, some documents are heavily compressed to save storage space in the archive. In some cases, this is at the expense of resolution (font size). When the document is then retrieved from the archive, the user can only read it with effort.\u00a0\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThe situation is similar with digital documents that were created several years or even decades ago. At that time, the technical possibilities for scanning were still very limited. As a result, many low-resolution documents ended up in private-sector, government and public archives. Even faxes, for example, were only stored with a resolution of 98 dpi at that time.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tFurthermore, documents captured with the camera of a smartphone or tablet can be problematic. In this case, it often happens that the results are blurred, distorted in perspective or poorly exposed. It is then very effortful for the recipient to read the contents.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The list of examples could go on and on. However, it is already clear that digitized documents do not always offer optimum reading comfort. Fortunately, \u201cSuper Resolution\u201d is an image processing method that solves this problem.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Missing image components are added automatically <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Super Resolution is a process that automatically analyzes and optimizes the quality of images (such as scanned documents). The goal here is to achieve a higher resolution (size and image sharpness). In simple terms, the basic task of this upscaling process is to insert missing pixels between existing pixels. Several methods exist for this purpose:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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