Title :
Automatic Removal of Photographic Paper Texture from Digitised Images
Author_Institution :
Kingston Univ., Kingston upon Thames
Abstract :
Older photographs were frequently printed onto textured paper. This texture is especially noticeable on scanned digital copies of the photograph. The components of the texture can be identified in the frequency domain. A filter can be designed to remove these components and hence this background texture from the image. A method is proposed to automatically adapt the parameters of the filter to the specific texture that is encountered. The method is demomstrated on reed data.
Keywords :
image processing; image scanners; automatic removal; digitised images; photographic paper texture; scanned digital copies; specific texture; Digital images; Discrete Fourier transforms; Filtering; Fourier transforms; Frequency domain analysis; Frequency response; Image analysis; Image converters; Lattices; Power harmonic filters;
Conference_Titel :
Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-953-184-116-0
DOI :
10.1109/ISPA.2007.4383701