Image Nonlinear Scaling Algorithm Based on Salient Region
Zhen Hua -, Yewei Li, Jinjiang Li · International Journal of Advancements in Computing Technology · 2011
Visual attention model has a good visual attention characteristic, which can accurately detect the salient region in images. Image scaling algorithm based on salient region will be studied. The salient region in original images is firstly detected, and the different region will be resized by the different scaling rules. At last, the resized image will be obtained by the fitting function. The salient region is resized by the nonlinear scaling rules adjust the scaling weights, which avoid the linear scaling rules causing morphing and ensuring the visual attention regional image not distortion. The other region is resized by the linear scaling rules use the interpolation method. Experimental results validate that this paper algorithm has not only achieved image scaling, and ensure the image no distortion and the integrity of salient region content, show good visual effect, and improve the quality of image scaling.