Abstract
On different devices images are often viewed with different resolutions which require image resizing. Resizing images often affects the quality of the images. To better resize images to different resolutions content aware image resizing should be done so that important features are preserved. Seam carving is one such content aware image resizing technique. In this work seam carving is used to downsize an image. This is achieved by carving out an optimal seam (either vertical or horizontal), which contains less information. Each seam removes a pixel from every row (or column) to reduce the height (or width) of the image. To prevent distortion resulting from uniform seam carving, we propose an algorithm that uses a new energy gradient function. In this method minimum of three neighboring pixels is calculated in both energy map and cumulative map and these values are added to find the value of pixel for the new cost matrix.
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Solanki, P., Bhatnagar, C., Jalal, A.S., Kumar, M. (2017). Content Aware Image Size Reduction Using Low Energy Maps for Reduced Distortion. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_42
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DOI: https://doi.org/10.1007/978-981-10-2104-6_42
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