Abstract
Image mosaicing involves splitting an input image into a set of tiles, then replacing each tile with another image from a large dataset so that, when viewed from a distance, the resulting image resembles the original. We present a new approach for generating image mosaics using variable sized tiles made up from patches taken from photographs, paintings and texture images. This is difierent from previous work, where either simple regular tiling or adaptive tiling based on variations of RGB color was used. We propose an adaptive tiling theme by means of region entropy. In order to avoid the mismatch in roughness between the sub-image in the tile region of the input image and tile images in the dataset that may arise in the previous RGB color based image descriptors, we introduce the region entropy into the image descriptor to achieve better matching in both color and roughness. We also propose a new metric to measure the quality of the image mosaic which takes both the similarity and the mutual information between the generated mosaics and input images into account. The final mosaic images in this work are obtained by optimizing an objective function based on this metric.
| Original language | English (US) |
|---|---|
| Title of host publication | VINCI 2016 - 9th International Symposium on Visual Information Communication and Interaction |
| Editors | Kang Zhang, Andreas Kerren |
| Publisher | Association for Computing Machinery |
| Pages | 122-129 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781450341493 |
| DOIs | |
| State | Published - Sep 24 2016 |
| Event | 9th International Symposium on Visual Information Communication and Interaction, VINCI 2016 - Dallas, United States Duration: Sep 24 2016 → Sep 26 2016 |
Other
| Other | 9th International Symposium on Visual Information Communication and Interaction, VINCI 2016 |
|---|---|
| Country | United States |
| City | Dallas |
| Period | 9/24/16 → 9/26/16 |
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Keywords
- Entropy
- Information evaluation
- Mosaic
- Tiling
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Adaptively tiled image mosaics utilizing measures of color and region entropy. / Zhang, Lina; Ma, Kwan-Liu; Yu, Jinhui.
VINCI 2016 - 9th International Symposium on Visual Information Communication and Interaction. ed. / Kang Zhang; Andreas Kerren. Association for Computing Machinery, 2016. p. 122-129.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptively tiled image mosaics utilizing measures of color and region entropy
AU - Zhang, Lina
AU - Ma, Kwan-Liu
AU - Yu, Jinhui
PY - 2016/9/24
Y1 - 2016/9/24
N2 - Image mosaicing involves splitting an input image into a set of tiles, then replacing each tile with another image from a large dataset so that, when viewed from a distance, the resulting image resembles the original. We present a new approach for generating image mosaics using variable sized tiles made up from patches taken from photographs, paintings and texture images. This is difierent from previous work, where either simple regular tiling or adaptive tiling based on variations of RGB color was used. We propose an adaptive tiling theme by means of region entropy. In order to avoid the mismatch in roughness between the sub-image in the tile region of the input image and tile images in the dataset that may arise in the previous RGB color based image descriptors, we introduce the region entropy into the image descriptor to achieve better matching in both color and roughness. We also propose a new metric to measure the quality of the image mosaic which takes both the similarity and the mutual information between the generated mosaics and input images into account. The final mosaic images in this work are obtained by optimizing an objective function based on this metric.
AB - Image mosaicing involves splitting an input image into a set of tiles, then replacing each tile with another image from a large dataset so that, when viewed from a distance, the resulting image resembles the original. We present a new approach for generating image mosaics using variable sized tiles made up from patches taken from photographs, paintings and texture images. This is difierent from previous work, where either simple regular tiling or adaptive tiling based on variations of RGB color was used. We propose an adaptive tiling theme by means of region entropy. In order to avoid the mismatch in roughness between the sub-image in the tile region of the input image and tile images in the dataset that may arise in the previous RGB color based image descriptors, we introduce the region entropy into the image descriptor to achieve better matching in both color and roughness. We also propose a new metric to measure the quality of the image mosaic which takes both the similarity and the mutual information between the generated mosaics and input images into account. The final mosaic images in this work are obtained by optimizing an objective function based on this metric.
KW - Entropy
KW - Information evaluation
KW - Mosaic
KW - Tiling
UR - http://www.scopus.com/inward/record.url?scp=85010957439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010957439&partnerID=8YFLogxK
U2 - 10.1145/2968220.2968228
DO - 10.1145/2968220.2968228
M3 - Conference contribution
AN - SCOPUS:85010957439
SP - 122
EP - 129
BT - VINCI 2016 - 9th International Symposium on Visual Information Communication and Interaction
A2 - Zhang, Kang
A2 - Kerren, Andreas
PB - Association for Computing Machinery
ER -