TY  - BOOK
AU  - Winnie Lynne Cayanan and Dianne Mari Ferrer.
AU  - 
ED  - 
ED  - 
ED  - 
ED  - 
SN  - 2
PY  - 2017///46
CY  - 
PB  - 
KW  - 
KW  - 2
KW  - 0
KW  - 6
KW  - 20
N1  - Undergraduate Thesis: (BSCS major in Computer Science) -  Pamantasan ng Lungsod ng Maynila, 2017; 5
N2  - Abstract  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
ER  -