Accelerated seam carving for image retargeting

Patel, Diptiben; Raman, Shanmuganathan

doi:10.1049/iet-ipr.2018.5283

Cited by 16 publications

(6 citation statements)

References 62 publications

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“…In this manner, each frame can be resized to the targeted size by successively eliminating the seams. Patel et al [71] proposed a method in which multiple pixel wide seam is inserted and removed in a single iteration to accelerate the process of seam carving. The energy of pixels that are to be eliminated and inserted energy after the elimination of a multiple pixel seam is also minimized to avoid the presence of false edges.…”

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%

A Survey on Content Aware Image Resizing Methods

Garg¹,

Negi²

2020

KSII TIIS

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“…Kiess et al [25] enhanced SC to preserve line structure properties that are present in the image. Patel and Shanmuganathan [26] proposed a technique to speed up the naive SC process by elimination or inclusion of multiple pixels wide batch seam in a single iteration rather than a single‐pixel wide seam. Along with the energy of pixels to be removed, inserted energy after the removal of a batch seam is also minimised to prevent the inclusion of false edges.…”

Section: Background Studymentioning

confidence: 99%

Structure preservation in content‐aware image retargeting using multi‐operator

Garg

Negi²

2020

IET image process

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“…To speed up the process of SC, Patel et al. proposed multiple‐pixel wide seam carving [10]. For video applications, CAIR has been extended by modifying SC [11] or mesh warping [12].…”

Section: Introductionmentioning

confidence: 99%

Compressed domain image retargeting in hierarchical wavelet trees

Hsin

2021

The Journal of Engineering

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This paper presents an efficient algorithm with content aware spatial scalability for effective displaying on various screens of different sizes. It combines the set partitioning in hierarchical trees (SPIHT) algorithm and the multiscale seam carving (MSC) algorithm in the compressed domain. As seams of insignificant wavelet trees can be discarded as early as possible, the burden of unnecessary computation and memory space is alleviated. Experimental results show that the proposed algorithm is preferable to other existing pixel‐domain algorithms.

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Accelerated seam carving for image retargeting

Cited by 16 publications

References 62 publications

A Survey on Content Aware Image Resizing Methods

A Survey on Content Aware Image Resizing Methods

Structure preservation in content‐aware image retargeting using multi‐operator

Compressed domain image retargeting in hierarchical wavelet trees

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