Title :
Image decomposition using deconvolution
Author :
Cho, Sunghyun ; Lee, Hyunjun ; Lee, Seungyong
Author_Institution :
POSTECH, Pohang, South Korea
Abstract :
We present a novel method for decomposing an image into base and texture layers. Our method is simple and effective, and can handle textures of high contrast, which traditional image filtering techniques may not handle efficiently. The method first removes high-frequency texture information using low-pass filtering, and then restores structural information of the image using a deconvolution operation. Experimental results demonstrate the effectiveness of our method.
Keywords :
deconvolution; image texture; low-pass filters; deconvolution operation; high-frequency texture information; image decomposition; image filtering techniques; low-pass filtering; Deconvolution; Graphics; Image decomposition; Image restoration; Minimization; Pixel; TV; image decomposition; image filtering; texture layer;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5651153