scholarly journals Hierarchical Digital Image Inpainting Using Wavelets

2012 ◽  
Vol 3 (4) ◽  
pp. 85-93 ◽  
Author(s):  
S Padmavathi
Keyword(s):  
Digital Image ◽  
Image Inpainting

Fractal Digital Image Inpainting

2010 ◽  
Vol 4 (4) ◽  
pp. 140-150 ◽  
Author(s):  
LI Jinjiang ◽  
FAN Hui ◽  
YUAN Da
Keyword(s):  
Digital Image ◽  
Image Inpainting

Optical Camouflage Effect Assessment Based on Digital Image Inpainting Technology

2018 ◽  
Vol 55 (3) ◽  
pp. 031011
Author(s):  
王鹏烨 Wang Pengye ◽  
赵德辉 Zhao Dehui ◽  
李明锋 Li Mingfeng
Keyword(s):  
Digital Image ◽  
Image Inpainting ◽  
Effect Assessment

Adaptive digital image inpainting

2004 ◽  
Author(s):  
T.K. Shih ◽  
Rong-Chi Chang ◽  
Liang-Chen Lu ◽  
Wen-Chieh Ko ◽  
Chun-Chia Wang
Keyword(s):  
Digital Image ◽  
Image Inpainting

Study on Digital Image Inpainting Method Based on Multispectral Image Decomposition Synthesis

2018 ◽  
Vol 33 (01) ◽  
pp. 1954004 ◽  
Author(s):  
Zhaoyang Jia ◽  
Guangxue Chen
Keyword(s):  
Digital Image ◽  
Polynomial Regression ◽  
Image Inpainting ◽  
Principal Component ◽  
Image Decomposition ◽  
Multispectral Image ◽  
High Fidelity ◽  
Multispectral Images ◽  
Image Appearance ◽  
Digital Inpainting

The paper analyzes the image inpainting problem of damaged Painting Arts for high fidelity images reproduction, and a digital image inpainting method based on multispectral image decomposition synthesis is proposed. Firstly, multi-channel images of Painting Arts are obtained by multispectral technology. Then, a polynomial regression method based on principal component is used to reconstruct the spectral image. The reconstructed image is decomposed by VO image decomposition model. During the inpainting process, the channel correlation of the structure image and the texture image of multispectral image is effectively removed. The digital image inpainting is performed respectively. Finally, the digital inpainted image is obtained by synthesis. The experimental results show that the digital image inpainting based on multispectral image decomposition synthesis reduces the problem of low image inpainting accuracy caused by the correlation between the color components in the traditional digital image inpainting process, and reduces the mismatch of the inpainting image. Appearance of pseudo color of inpainting image is reduced. MSE of multispectral images inpainting qualities is 2.7951 and PSNR of multispectral images inpainting qualities is 44.1681, so it 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.

scholarly journals Digital Image Inpainting by Estimating Wavelet Coefficient Decays From Regularity Property and Besov Spaces

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 3459-3471 ◽  
Author(s):  
Sergio R. M. Penedo ◽  
Flavio A. M. Cipparrone ◽  
Joao F. Justo
Keyword(s):  
Digital Image ◽  
Besov Spaces ◽  
Wavelet Coefficient ◽  
Image Inpainting ◽  
Regularity Property

scholarly journals A Review Paper on Image Inpainting and their Different Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 108-111
Author(s):  
Pranjali Joshi ◽  
Neeraj Shrivastav
Keyword(s):  
Wavelet Transform ◽  
Digital Image ◽  
Review Paper ◽  
Image Inpainting ◽  
Original Image ◽  
The Past

Image Inpainting is an art of modifying the digital image in such a way that the modifications are undetectable to an observer who has no idea about the original image. The essential thought behind the system is to consequently fill in lost or missing parts of a picture utilizing data from the encompassing region. It is utilized for rebuilding of old movies and protest expulsion in computerized photos. Different calculations have introduced in the past to accomplish the undertaking of picture inpainting. In this paper we give a survey of various systems utilized for picture Inpainting. We talk about various inpainting systems like Wavelet Transform inpainting, Exemplar based picture inpainting, PDE based picture inpainting, surface combination based picture inpainting.

scholarly journals Overview of Digital Image Inpainting Technology

2020 ◽  
Author(s):  
Xiangxiang Chen ◽  
Shuwen Wang ◽  
Jin Rong ◽  
Mengmeng Zhang ◽  
Wangchun Wu
Keyword(s):  
Digital Image ◽  
Image Inpainting
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