Edge-preserving Multi-scale Image Decomposition Based on Alpha-shape
We propose a new model of image decomposition for detail that inherently captures oscillations, a key property that distinguishes textures from individual edges. Inspired by techniques in computational geometry and morphological image analysis, we use the alpha-shape of the input image to extract information about oscillations: We define detail as oscillations between upper and lower envelop of the input image. Building on the key observation that the spatial scale of oscillations is characterized by the a value, we develop an algorithm for decomposing images into multiple scales of superposed oscillations. Compared with traditional image, decomposition -methods, our method has three advantages as follows: 1) precisely control scale parameter; 2) preserve edge while decomposition; 3) decouple a noise layer from noise image. We compared our results with current existing edge-preservuing image decmposition algorythms and demonstrate exciting applications with our methuds.
edge-preserving image decomposition algorithms anddemonstrate exciting applications with our methods edge-preserving multi-scale image decomposition alpha-shape
Zhuangzhi Wu Lina Qi Pei Luo Lu Feng
School of Computer Science and Engineering, Beihang University, Beijing 100191, China
国际会议
重庆
英文
1394-1398
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）