Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology
In order to study the application of computer digital image processing technology in film and television (FAT) animation visual sensing expression, by studying the principle of digital image processing technology and visual sensing technology, a spatial image adaptive steganography image enhancement...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/6331233 |
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| _version_ | 1832553678583627776 |
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| author | Lu Lian Tong Lei |
| author_facet | Lu Lian Tong Lei |
| author_sort | Lu Lian |
| collection | DOAJ |
| description | In order to study the application of computer digital image processing technology in film and television (FAT) animation visual sensing expression, by studying the principle of digital image processing technology and visual sensing technology, a spatial image adaptive steganography image enhancement algorithm by multiscale filters is proposed to carry out enhancement processing of the original image in FAT production. This algorithm can provide more high-quality and refined original materials for FAT animation production, which is convenient for FAT animation postproduction to produce higher-resolution and clear FAT works. Finally, the algorithm is verified. The results show that the spatial image adaptive steganography image enhancement algorithm has high security, and the highest average detection error rate is 25.06%. When α=0.4, the security of the spatial image adaptive steganography image enhancement algorithm is up to 34.62% and the image distortion rate is low. The established image enhancement algorithm can significantly improve the security of the existing spatial image steganography algorithm under different embedding rates, especially at a high embedding rate; the improvement of the spatial domain steganography algorithm is greater. The proposed steganographic image enhancement algorithm by image preprocessing has higher security and better image enhancement effect. |
| format | Article |
| id | doaj-art-50925683e2e2486cb229c39f5f573626 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-50925683e2e2486cb229c39f5f5736262025-02-03T05:53:27ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/6331233Film and Television Animation Sensing and Visual Image by Computer Digital Image TechnologyLu Lian0Tong Lei1School of New Media ArtsSchool of New Media ArtsIn order to study the application of computer digital image processing technology in film and television (FAT) animation visual sensing expression, by studying the principle of digital image processing technology and visual sensing technology, a spatial image adaptive steganography image enhancement algorithm by multiscale filters is proposed to carry out enhancement processing of the original image in FAT production. This algorithm can provide more high-quality and refined original materials for FAT animation production, which is convenient for FAT animation postproduction to produce higher-resolution and clear FAT works. Finally, the algorithm is verified. The results show that the spatial image adaptive steganography image enhancement algorithm has high security, and the highest average detection error rate is 25.06%. When α=0.4, the security of the spatial image adaptive steganography image enhancement algorithm is up to 34.62% and the image distortion rate is low. The established image enhancement algorithm can significantly improve the security of the existing spatial image steganography algorithm under different embedding rates, especially at a high embedding rate; the improvement of the spatial domain steganography algorithm is greater. The proposed steganographic image enhancement algorithm by image preprocessing has higher security and better image enhancement effect.http://dx.doi.org/10.1155/2022/6331233 |
| spellingShingle | Lu Lian Tong Lei Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology Journal of Mathematics |
| title | Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology |
| title_full | Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology |
| title_fullStr | Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology |
| title_full_unstemmed | Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology |
| title_short | Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology |
| title_sort | film and television animation sensing and visual image by computer digital image technology |
| url | http://dx.doi.org/10.1155/2022/6331233 |
| work_keys_str_mv | AT lulian filmandtelevisionanimationsensingandvisualimagebycomputerdigitalimagetechnology AT tonglei filmandtelevisionanimationsensingandvisualimagebycomputerdigitalimagetechnology |