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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Main Authors: Jieying Wang, Jiří Kosinka, Alexandru Telea
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Imaging
Subjects:
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.
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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
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