%0 Journal Article
%A 邓军勇
%A 李富澄
%A 罗佳莹
%A 任含
%A 朱筠
%T <span>TSR: algorithm of image hole-filling based on three-step repairing</span>
%D 2022
%R 10.19682/j.cnki.1005-8885.2022.0005
%J 中国邮电高校学报（英文）
%P 83-91
%V 29
%N 5
%X <div style="text-align:justify;">
	In order to solve the hole-filling mismatch problem in virtual view synthesis, a three-step repairing (TSR) algorithm was proposed. Firstly, the image with marked holes is decomposed by the non-subsampled shear wave transform ( NSST), which will generate high-/ low-frequency sub-images with different resolutions. Then the improved Criminisi algorithm was used to repair the texture information in the high-frequency sub-images, while the improved curvature driven diffusion (CDD) algorithm was used to repair the low-frequency sub-images with the image structure information. Finally, the repaired parts of high-frequency and low-frequency sub-images are synthesized to obtain the final image through inverse NSST. Experiments show that the peak signal-to-noise ratio (PSNR) of the TSR algorithm is improved by an average of 2 - 3 dB and 1 - 2 dB compared with the Criminisi algorithm and the nearest neighbor interpolation (NNI) algorithm, respectively.
</div>
%U https://jcupt.bupt.edu.cn/CN/10.19682/j.cnki.1005-8885.2022.0005