Title :
Image scaling method based on protected region
Author :
Lisha Hou ; Junping Du ; Lingling Zi ; Min Zuo ; Shimohara, Katsunori
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
To solve the problem of seriously distortion while enlarging images via seam carving, we proposed an improved method in this paper. Firstly, we enlarged the image with hierarchical interpolation model to the size of power of two times of original, which is closest to target size, while applying iterative curvature-based interpolation algorithm to protected areas and nearest interpolation to non-protected areas. And then, some seams to the target size were avoided via seam carving method. Through the subjective analysis and objective evaluation, the experiment on both standard library images and spatial images showed that the proposed method gave satisfactory results.
Keywords :
image processing; interpolation; iterative methods; hierarchical interpolation model; image scaling method; iterative curvature-based interpolation algorithm; nearest interpolation; protected region; seam carving method; spatial images; standard library images; Algorithm design and analysis; Computers; Educational institutions; Image edge detection; Interpolation; Libraries; Standards; ICBI; Image scaling; Protect region; Seam carving;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664372