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_aWinnie Lynne Cayanan and Dianne Mari Ferrer.
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_aAn enhancement of seam carving algorithm in effective image resizing /
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_cWinnie Lynne Cayanan and Dianne Mari Ferrer.
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_c201746
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_c28 cm.
_a1412 pp.
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_atext
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_aunmediated
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_aUndergraduate Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2017.
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_aAbstract As today's technology-driven world advances, creating adaptive processing tools has become of more and more interest. One of the applications that brought much attention to itself recently is the use of intelligent image resizing techniques in order to fit the images into the variety of display tools that exist such as smartphones, monitors and different page layouts. The study explores Seam Carving Algorithm and the enhanced algorithm to see its effectiveness in terms of image resizing. The results should help people specially those who are in the field of digital image processing in order for them to know what application they will use in order to achieve a content-aware resized image. In order to achieve this, first, we have read about the different studies, journals and blogs about the algorithm. We tried to simulate the algorithm in order to know where the problems occur. Then, we researched about the different energy functions that can be used in order to get more accurate in terms of the energy of the pixel and different steps in order to get the most effective result in resizing. And we found out that there are more customizations that can be done in the algorithm in order for it to be fully effective. Seam carving algorithm is really effective in content-aware image resizing and can be a great impact in digital image processing.
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