Edge-preserving image decomposition based on guided upper/lower envelops
Soo‐Chang Pei, Chih-Tsung Shen, Wenhui Chu · 2012
In this paper, we present an image decomposition method based on guided upper/lower envelops of the intensity signal. First, we estimate our upper/lower envelops by using a estimator guided by the gradient (edges). Second, using the guided envelops, we easily obtain the edge-preserving base layer of the intensity signal and its corresponding detail layer. In the end, we not only propose the JND-based detail boosting for image enhancement but also demonstrate our image abstraction/stylization. Experimental results show that our proposed method is promising as compared to the existing methods.