Spline-Based Dense Medial Descriptors for Lossy Image Compression
Medial descriptors are of significant interest for image simplification, representation, manipulation, and compression. On the other hand, B-splines are well-known tools for specifying smooth curves in computer graphics and geometric design. In this paper, we integrate the two by modeling medial des...
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Format: | Article |
Language: | English |
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MDPI AG
2021-08-01
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Series: | Journal of Imaging |
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Online Access: | https://www.mdpi.com/2313-433X/7/8/153 |
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author | Jieying Wang Jiří Kosinka Alexandru Telea |
author_facet | Jieying Wang Jiří Kosinka Alexandru Telea |
author_sort | Jieying Wang |
collection | DOAJ |
description | Medial descriptors are of significant interest for image simplification, representation, manipulation, and compression. On the other hand, B-splines are well-known tools for specifying smooth curves in computer graphics and geometric design. In this paper, we integrate the two by modeling medial descriptors with stable and accurate B-splines for image compression. Representing medial descriptors with B-splines can not only greatly improve compression but is also an effective vector representation of raster images. A comprehensive evaluation shows that our Spline-based Dense Medial Descriptors (SDMD) method achieves much higher compression ratios at similar or even better quality to the well-known JPEG technique. We illustrate our approach with applications in generating super-resolution images and salient feature preserving image compression. |
first_indexed | 2024-03-10T08:42:09Z |
format | Article |
id | doaj.art-9d8bdf43279a4da49ed6060fb0d94406 |
institution | Directory Open Access Journal |
issn | 2313-433X |
language | English |
last_indexed | 2024-03-10T08:42:09Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Imaging |
spelling | doaj.art-9d8bdf43279a4da49ed6060fb0d944062023-11-22T08:14:10ZengMDPI AGJournal of Imaging2313-433X2021-08-017815310.3390/jimaging7080153Spline-Based Dense Medial Descriptors for Lossy Image CompressionJieying Wang0Jiří Kosinka1Alexandru Telea2Faculty of Science and Engineering, University of Groningen, 9747 AG Groningen, The NetherlandsFaculty of Science and Engineering, University of Groningen, 9747 AG Groningen, The NetherlandsDepartment of Information and Computing Science, Utrecht University, 3584 CC Utrecht, The NetherlandsMedial descriptors are of significant interest for image simplification, representation, manipulation, and compression. On the other hand, B-splines are well-known tools for specifying smooth curves in computer graphics and geometric design. In this paper, we integrate the two by modeling medial descriptors with stable and accurate B-splines for image compression. Representing medial descriptors with B-splines can not only greatly improve compression but is also an effective vector representation of raster images. A comprehensive evaluation shows that our Spline-based Dense Medial Descriptors (SDMD) method achieves much higher compression ratios at similar or even better quality to the well-known JPEG technique. We illustrate our approach with applications in generating super-resolution images and salient feature preserving image compression.https://www.mdpi.com/2313-433X/7/8/153medial descriptorsimage compressionB-splinessuper-resolution |
spellingShingle | Jieying Wang Jiří Kosinka Alexandru Telea Spline-Based Dense Medial Descriptors for Lossy Image Compression Journal of Imaging medial descriptors image compression B-splines super-resolution |
title | Spline-Based Dense Medial Descriptors for Lossy Image Compression |
title_full | Spline-Based Dense Medial Descriptors for Lossy Image Compression |
title_fullStr | Spline-Based Dense Medial Descriptors for Lossy Image Compression |
title_full_unstemmed | Spline-Based Dense Medial Descriptors for Lossy Image Compression |
title_short | Spline-Based Dense Medial Descriptors for Lossy Image Compression |
title_sort | spline based dense medial descriptors for lossy image compression |
topic | medial descriptors image compression B-splines super-resolution |
url | https://www.mdpi.com/2313-433X/7/8/153 |
work_keys_str_mv | AT jieyingwang splinebaseddensemedialdescriptorsforlossyimagecompression AT jirikosinka splinebaseddensemedialdescriptorsforlossyimagecompression AT alexandrutelea splinebaseddensemedialdescriptorsforlossyimagecompression |