Seam merging for image resizing with structure preservation

Mishiba, Kazu; Ikehara, Masaaki

doi:10.1109/icassp.2011.5946575

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…Because the conventional seam merging method [6] and our proposed method tend to create similar satisfactory results, we show the results which are clearly different between them. Fig.…”

Section: Resultsmentioning

confidence: 55%

“…We provide a brief description of this method in Section 2. See [6] for more details. The seam merging method provides satisfactory results in many images.…”

Section: Introductionmentioning

confidence: 99%

“…These methods, however, may distort object shapes because they ignore structure preservation. To solve this problem, we proposed seam merging [6], which merges a two-pixel-width seam that minimizes structural distortion to reduce image size. We provide a brief description of this method in Section 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Image resizing using improved seam merging

Mishiba

Ikehara

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In this paper, we propose the improved seam merging method for content-aware image resizing. This method merges a twopixel-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 importance and structure energies. Using the cartoon image of an original image for calculation of structure energy, our method can preserve main structure. In addition, we introduce new energy to suppress distortion generated by excessive reduction or enlargement in the iterative merging or inserting. Experimental results demonstrate that the proposed method can produce satisfactory results in both image reduction and enlargement.

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“…Because the conventional seam merging method [6] and our proposed method tend to create similar satisfactory results, we show the results which are clearly different between them. Fig.…”

Section: Resultsmentioning

confidence: 55%

“…We provide a brief description of this method in Section 2. See [6] for more details. The seam merging method provides satisfactory results in many images.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image resizing using improved seam merging

Mishiba

Ikehara

2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Hence, the structure of objects in the source image is often distorted. To preserve the structure, Mishiba et al [63] proposed seam merging and a new merging energy criterion. Due to the lack of use of pixel importance, the method could not safeguard salient contents.…”

Section: Content-aware Seam Carvingmentioning

confidence: 99%

A Survey on Content Aware Image Resizing Methods

Garg¹,

Negi²

2020

KSII TIIS

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With the advancement in the field of image processing, images are being processed using various image processing algorithms. Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions and to generate better results that are visually appealing and pleasing while resizing. Advancements in the new display device with varying screen size demands the development of efficient image resizing algorithm. This paper presents a survey on various image retargeting methods, comparison of image retargeting results based on performance, and also exposes the main challenges in image retargeting such as content preservation of important regions, distortion minimization, and improving the efficiency of image retargeting methods. After reviewing literature from researchers it is suggested that the use of the single operator in image retargeting such as scaling, cropping, seam carving, and warping is not sufficient for obtaining satisfactory results, hence it is essential to combine multiple image retargeting operators. This survey is useful for the researchers interested in content-aware image retargeting.

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“…In [25], an improvement is made by incorporating energy gradient information. Mishiba et al [20] give another improvement to preserve structures. In Cho and Choi [15], the authors present a novel importance diffusion scheme, which propagates importance of removed pixels to their neighbors for preserving visual contexts and avoiding overshrinkage of unimportant parts.…”

Section: Introductionmentioning

confidence: 97%