Abstract: In order to solve the problems that salient objects easy to be deformed, small objects easy
to be deleted and multi-salient objects easy to be fused as the image resize in different display devices,
this paper presents a new content-aware image resizing algorithm based on Bayesian model. The
algorithm firstly uses the convex hull and the background prior to obtain the prior probability and the
likelihood estimation required by Bayesian model, and calculate the saliency map using the Bayesian
model. Secondly, after the new gradient map is obtained by multiplying the gradient map and the
saliency map, the new gradient map and the saliency map gets a composite energy map. Finally, we use
the composite energy map to resize the map by seam carving. The experimental results show that the
algorithm compared with the previous algorithm can overcome problems of salient objects deformation
and small objects, and reduces the happening of the multi objects fusion significantly.

Key words: content-aware, saliency detection, Bayesian model, prior distribution