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Analysis of seam carving technique: limitations, improvements and possible solutions

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Abstract

Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions of the image so that aesthetically pleasing retargeting results can be generated. In this paper, firstly various energy map generation methods are analyzed based on the conventional seam carving technique. After objective image quality assessment of the retargeted image obtained from the conventional seam carving technique, it has been found that the percentage of similarity obtained from the gradient energy map generation method is 77.44% which is higher than the other methods. Further, to minimize the deformations on the parameters such as luminance, color, and structure the improved seam carving technique utilizes the gradient energy generation method to obtain the energy map of all kinds of input images during the retargeting operation. To check the efficiency of the improved retargeting technique the obtained results are compared with the conventional seam carving technique based on different properties of the objects present in the image. After objective image quality assessment based on SSIM, it is found that the improved seam carving technique produces 70% similarity between reference and retargeted images which is 10% higher than the conventional seam carving technique. Furthermore, the energy modification operation of the improved seam carving technique also plays its significant contribution to minimize the deformation on the defined parameters. After the subjective and objective image quality assessment, it is found that the high percentage similarity in the retargeted results justifies the efficiency of the improved seam carving technique.

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Garg, A., Singh, A.K. Analysis of seam carving technique: limitations, improvements and possible solutions. Vis Comput 39, 2683–2709 (2023). https://doi.org/10.1007/s00371-022-02486-2

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