Image retargeting based on spatially varying defocus blur map
Ali Karaali, Cláudio R. Jung · 2016
This paper presents a new image retargeting method that explores blur information. Given the input image, we compute the blur map and estimate in-focus regions. For retargeting, we first try to crop image boundaries as much as possible (preserving in-focus regions). If cropping is not enough, we use seam carving exploring a novel blur-aware energy function that concentrates the seams in blurred regions of the image. Experimental results show that the proposed blur-aware retargeting scheme works better at preserving in-focus objects than other competitive retargeting algorithms.