Restoring Damaged JPEG Images Obtained from the Wireless Endoscopic Capsule
| Autor: | Askar Shayakov, Anastasia Antonova, Timur Khabibullin, Anastasia Tolstaya |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
0106 biological sciences
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.file_format Recovery of JPEG images 01 natural sciences JPEG Metadata 010608 biotechnology Code (cryptography) General Earth and Planetary Sciences Wireless blocks shift Computer vision Digestive tract Artificial intelligence downsampling of chrominance business JPEG markers computer General Environmental Science |
| Zdroj: | BICA |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.07.452 |
| Popis: | The effectiveness of programs for automated recognition of diseases of the digestive tract by the images recorded by a wireless endoscopic capsule depends on the quality of images obtained from it. Therefore, this article discusses the algorithm, which allows to recover the loss of image data from the part of the code that encodes the image itself, not the loss of metadata (supplementary information at the beginning of the entire code of the image). It allows reconstructing the images with shifted blocks by returning them to their original location and restoring their original color. The algorithm was tested on 159 damaged images and the experiment has restored about 90% of distorted frames. |
| Databáze: | OpenAIRE |
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