Study on Digital Image Inpainting Method Based on Multispectral Image Texture Synthesis
Jia Zhaoyang, Chen Guangxue
Journal of Digital Information Management, Vol. 15, No. 5, 2017.
DOI: 
Link: http://dline.info/fpaper/jdim/v15i5/jdimv15i5_2.pdf
Abstract:
Digital image inpainting method based on
multispectral image texture synthesis is proposed for the
digital archives and high fidelity replication of defective
Painting Arts. Firstly, multi-channel images of Painting
Arts are obtained through multispectral technology.
Inpainting technique based on texture synthesis is
adopted for the multispectral reconstruction image. In the
process of inpainting, the improved Criminisi algorithm is
adopted to calculate the image gradient based on IHS
space. It avoids wrong information propagation caused
by the difficulty of direction matching and inaccurate
gradient calculation of the correlation of color components
in the RGB space. It can reduce the mismatch of the
color patches in the inpainting area and pseudo color,
and improve the digital inpainting quality of multispectral
images. It has been proved that MSE of multispectral
images inpainting qualities is 5.4021 and PSNR of
multispectral images inpainting qualities is 41.6320, so
improved Criminisi algorithm is superior to traditional image
inpainting algorithm. It provides a reliable basis for digital
inpainting, digital archives and high fidelity replication of
defective Painting Arts.