Authors
Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, Ling Shao
Publication date
2020/3/11
Journal
IEEE Transactions on Image Processing, Matlab Code: https://github.com/csjunxu/STAR
Volume
29
Issue
1
Pages
5022-5037
Publisher
IEEE
Description
Retinex theory is developed mainly to decompose an image into the illumination and reflectance components by analyzing local image derivatives. In this theory, larger derivatives are attributed to the changes in reflectance, while smaller derivatives are emerged in the smooth illumination. In this paper, we utilize exponentiated local derivatives (with an exponent ) of an observed image to generate its structure map and texture map. The structure map is produced by been amplified with , while the texture map is generated by been shrank with . To this end, we design exponential filters for the local derivatives, and present their capability on extracting accurate structure and texture maps, influenced by the choices of exponents . The extracted structure and texture maps are employed to regularize the illumination and reflectance components in Retinex decomposition. A novel Structure and Texture …
Total citations
20192020202120222023202411436616960
Scholar articles
J Xu, Y Hou, D Ren, L Liu, F Zhu, M Yu, H Wang… - IEEE Transactions on Image Processing, 2020