z-logo
Premium
Structure‐Texture Decomposition of Images with Interval Gradient
Author(s) -
Lee Hyunjoon,
Jeon Junho,
Kim Junho,
Lee Seungyong
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12875
Subject(s) - smoothing , image (mathematics) , interval (graph theory) , computer science , filter (signal processing) , texture (cosmology) , artificial intelligence , computer vision , algorithm , mathematics , combinatorics
This paper presents a novel filtering‐based method for decomposing an image into structures and textures. Unlike previous filtering algorithms, our method adaptively smooths image gradients to filter out textures from images. A new gradient operator, the interval gradient, is proposed for adaptive gradient smoothing. Using interval gradients, textures can be distinguished from structure edges and smoothly varying shadings. We also propose an effective gradient‐guided algorithm to produce high‐quality image filtering results from filtered gradients. Our method avoids gradient reversal in the filtering results and preserves sharp features better than existing filtering approaches, while retaining simplicity and highly parallel implementation. The proposed method can be utilized for various applications that require accurate structure‐texture decomposition of images.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here