Seam Carving Algorithm Based on Saliency

Lin, Wen; Zhang, Fuquan; Lian, Renbao; Xu, Lin; Chen, Xueyun; Kuang, Linghong

doi:10.1007/978-3-319-70730-3_34

Cited by 4 publications

(1 citation statement)

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“…In the proposed algorithm author put a constraint that seams are sparsely assigned to each other. Lin et al [69] proposed a saliency-based seam-carving algorithm. According to the greyscale of saliency detection images are classified.…”

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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Section: Content-aware Seam Carvingmentioning

confidence: 99%