Improved Seam Merging for Content-Aware Image Resizing

Kazu MISHIBA; Masaaki IKEHARA; Takeshi YOSHITOME

doi:10.1587/transinf.E96.D.349

Improved Seam Merging for Content-Aware Image Resizing

Kazu MISHIBA, Masaaki IKEHARA, Takeshi YOSHITOME

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In this paper, we propose an improved seam merging method for content-aware image resizing. This method merges a two-pixel-width seam element into one new pixel in image reduction and inserts a new pixel between the two pixels in image enlargement. To preserve important contents and structure, our method uses energy terms associated with importance and structure. Our method preserve the main structures by using a cartoon version of the original image when calculating the structure energy. In addition, we introduce a new energy term to suppress the distortion generated by excessive reduction or enlargement in iterated merger or insertion. Experimental results demonstrate that the proposed method can produce satisfactory results in both image reduction and enlargement.

Publication: IEICE TRANSACTIONS on Information Vol.E96-D No.2 pp.349-356

Publication Date: 2013/02/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E96.D.349

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Kazu MISHIBA, Masaaki IKEHARA, Takeshi YOSHITOME, "Improved Seam Merging for Content-Aware Image Resizing" in IEICE TRANSACTIONS on Information, vol. E96-D, no. 2, pp. 349-356, February 2013, doi: 10.1587/transinf.E96.D.349.
Abstract: In this paper, we propose an improved seam merging method for content-aware image resizing. This method merges a two-pixel-width seam element into one new pixel in image reduction and inserts a new pixel between the two pixels in image enlargement. To preserve important contents and structure, our method uses energy terms associated with importance and structure. Our method preserve the main structures by using a cartoon version of the original image when calculating the structure energy. In addition, we introduce a new energy term to suppress the distortion generated by excessive reduction or enlargement in iterated merger or insertion. Experimental results demonstrate that the proposed method can produce satisfactory results in both image reduction and enlargement.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E96.D.349/_p

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@ARTICLE{e96-d_2_349,
author={Kazu MISHIBA, Masaaki IKEHARA, Takeshi YOSHITOME, },
journal={IEICE TRANSACTIONS on Information},
title={Improved Seam Merging for Content-Aware Image Resizing},
year={2013},
volume={E96-D},
number={2},
pages={349-356},
abstract={In this paper, we propose an improved seam merging method for content-aware image resizing. This method merges a two-pixel-width seam element into one new pixel in image reduction and inserts a new pixel between the two pixels in image enlargement. To preserve important contents and structure, our method uses energy terms associated with importance and structure. Our method preserve the main structures by using a cartoon version of the original image when calculating the structure energy. In addition, we introduce a new energy term to suppress the distortion generated by excessive reduction or enlargement in iterated merger or insertion. Experimental results demonstrate that the proposed method can produce satisfactory results in both image reduction and enlargement.},
keywords={},
doi={10.1587/transinf.E96.D.349},
ISSN={1745-1361},
month={February},}

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TY - JOUR
TI - Improved Seam Merging for Content-Aware Image Resizing
T2 - IEICE TRANSACTIONS on Information
SP - 349
EP - 356
AU - Kazu MISHIBA
AU - Masaaki IKEHARA
AU - Takeshi YOSHITOME
PY - 2013
DO - 10.1587/transinf.E96.D.349
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2013
AB - In this paper, we propose an improved seam merging method for content-aware image resizing. This method merges a two-pixel-width seam element into one new pixel in image reduction and inserts a new pixel between the two pixels in image enlargement. To preserve important contents and structure, our method uses energy terms associated with importance and structure. Our method preserve the main structures by using a cartoon version of the original image when calculating the structure energy. In addition, we introduce a new energy term to suppress the distortion generated by excessive reduction or enlargement in iterated merger or insertion. Experimental results demonstrate that the proposed method can produce satisfactory results in both image reduction and enlargement.
ER -