Optimal bi-directional seam carving for compressibility-aware image retargeting

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

“…The width of a batch seam is a critical factor that made adaptive during the retargeting process to preserve the energy of an image. Zhou et al [27] proposed a significance detection method, which considers the edge information and visual saliency. To assess the compressibility of the image, a wall‐seam model was built and assign the accurate number of seams for each direction.…”

“…Then the reduced dimensions allocated to CSC and possible scaling are determined by the analysis of the energy curve of the extracted seams. In most existing SC literature [1–3, 23, 25, 27, 28], problems of intersection of seams, segmentation, multiple pixel removal within a single row/column leading to distortion have not been addressed completely.…”

Accelerated seam carving for image retargeting

“… Combining continuous and discrete image retargeting : Performance of the image retargeting techniques is improved by combining different operators such as SCL, CR, WARP and/or seam carving. These techniques optimise the sequence and the number of times each operator is applied in order to get a retargeted image of target display size [38–44]. The different image retargeting techniques are summarised and compared in [45].…”

Content-Aware Image Resizing Technology Based on Composition Detection and Composition Rules

“…The addition of image saliency information can avoid the deletion of important image information. A wall-seam model was proposed [6], which combines saliency features. This algorithm can avoid the deletion of salient information, but distortion occurs in the background area.…”