3D image hiding using deep demosaicking and computational integral imaging

2022 ◽  
Vol 148 ◽  
pp. 106772
Author(s):  
Ying Wang ◽  
Zhiqing Ren ◽  
Li Zhang ◽  
Dahai Li ◽  
Xiaowei Li
2013 ◽  
Vol 479-480 ◽  
pp. 958-962
Author(s):  
Xiao Wei Li ◽  
Seok Ki Lee ◽  
Sung Jin Cho ◽  
Seok Tae Kim

We propose a three-dimensional (3D) image encryption method based on the modified computational integral imaging (CII) technique with the smart pixel mapping (SPM) algorithm, which is introduced for reconstructing orthoscopic 3D images with improved image quality. The depth-converted two-dimensional (2D) elemental image array (EIA) is firstly obtained by SPM-based CII system, and then the 2D EIA is encrypted by Fibonacci transform for 3D image encryption. Compared with conventional encryption methods based on integral imaging (II), the proposed method enables us to reconstruct orthoscopic 3D images at long distance. In addition, the qualities of the reconstructed plane images are enhanced by applying the SPM and pixel average algorithm (PAA) in CII. To show the usefulness of the proposed method, we carry out the preliminary experiments and present the experimental results.


2013 ◽  
Vol 479-480 ◽  
pp. 948-952
Author(s):  
Xiao Wei Li ◽  
Sung Jin Cho ◽  
Seok Tae Kim

In this paper, we propose a novel three-dimensional (3D) color image encryption scheme based on computational integral imaging (CII) and Arnold transform technique. An elemental image array (EIA) is firstly captured by recording the light rays emanating from 3D image through a lenslet array. Then, the captured color EIA is decomposed into three independent channels: red, green and blue, and each channel is encrypted by Arnold transform. In the reconstruction process, the pseudo-inverse filter is used to improve quality of the reconstructed 3D color image in CII system. Numerical simulations have been done to prove the validity and the security of the proposed 3D color image encryption method.


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