Image resizing by row/column removal and addition based on hierarchical clustering
Kohei Inoue, Kenji Hara, Kiichi Urahama · 2010
We propose a method for removing rows and columns in an image by clustering the sets of rows and columns separately. We also propose a method for adding rows and columns to an image on the basis of the proposed row/column removal method. Experimental results show that the proposed methods can reduce or enlarge the sizes of given images, while the aspect ratios of the main objects in the images are preserved.