Image Content Reorganization Based on Differential Vision
Gangke Wang, Zhenlong Du, Xiaoli Li, Dong Sheng Chen · 2023
A variety of colorful patterns can be found in life. They play an important role in housing decoration, landscape design, clothes design, etc. These simple elements make up the pattern. They are grouped together in a number of ways. In the paper, the pattern content organization method based on differential function pattern processing is discussed. The technique can identify the essential elements in the pattern. And the method can get the occlusion order of elements in the pattern. Then create another style of pattern. The method can deal with these patterns with approximate rules effectively. The ingredients in the picture are layered by the differential function. And then, the image content is organized. The method has the advantages of high precision and low computational complexity. The approach studied in this paper improves the distortion and data loss during elements organization. Compared with other image element organization methods, the proposed method is more robust.