TY - GEN
T1 - Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Maps
AU - Wang, Jieying
AU - De Melo Joao, Leonel
AU - Falcao, Alexandre
AU - Kosinka, Jiri
AU - Telea, Alex
N1 - Funding Information:
Acknowledgments. The first author acknowledges the China Scholarship Council (Grant number: 201806320354) for financial support.
Publisher Copyright:
© 2023, Springer Nature Switzerland AG.
PY - 2023/2/2
Y1 - 2023/2/2
N2 - Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial method. We achieve this integration by presenting Spatial Saliency Spline Dense Medial Descriptors (3S-DMD) for saliency-aware image simplification-and-compression. Our method significantly improves the trade-off between compression and image quality of earlier medial-based methods while keeping perceptually salient features. We also demonstrate the added-value of user-designed, as compared to automatically-computed, saliency maps. We show that our method achieves both higher compression and better quality than JPEG for a broad range of images and, for specific image types, yields higher compression and similar quality than JPEG 2000.
AB - Medial descriptors have attracted increasing interest in image representation, simplification, and compression. Recently, such descriptors have been separately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial method. We achieve this integration by presenting Spatial Saliency Spline Dense Medial Descriptors (3S-DMD) for saliency-aware image simplification-and-compression. Our method significantly improves the trade-off between compression and image quality of earlier medial-based methods while keeping perceptually salient features. We also demonstrate the added-value of user-designed, as compared to automatically-computed, saliency maps. We show that our method achieves both higher compression and better quality than JPEG for a broad range of images and, for specific image types, yields higher compression and similar quality than JPEG 2000.
KW - Medial descriptors
KW - Saliency maps
KW - B-splines
KW - Image simplification
KW - Image compression
UR - http://www.scopus.com/inward/record.url?scp=85149681031&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-25477-2_13
DO - 10.1007/978-3-031-25477-2_13
M3 - Conference contribution
SN - 978-3-031-25476-5
T3 - Communications in Computer and Information Science
SP - 279
EP - 302
BT - Computer Vision, Imaging and Computer Graphics Theory and Applications - 16th International Joint Conference, VISIGRAPP 2021, Revised Selected Papers
A2 - de Sousa, A. Augusto
A2 - Havran, Vlastimil
A2 - Paljic, Alexis
A2 - Peck, Tabitha
A2 - Hurter, Christophe
A2 - Purchase, Helen
A2 - Purchase, Helen
A2 - Farinella, Giovanni Maria
A2 - Radeva, Petia
A2 - Bouatouch, Kadi
PB - Springer
ER -