3D Image Encryption Using Integral Imaging Scheme and MLCA Technology

Kim, Dong Hwan; Piao, Yong; Cho, Sung Jin; Kim, Seok Tae

doi:10.4028/www.scientific.net/amm.284-287.2955

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…The most common methods of data acquisition are single CT and CT with secondary scan data alignment [ 19 ]. 3D images of the jaws are obtained by CT scanning, while information on the contours of the ideal restoration and the morphology of the intraoral soft and hard tissues can be obtained by radiographic guide CT (or cone-beam CT) data acquisition and optical scanning of the plaster model (or oral model impressions, intraoral optical impressions) [ 20 ].…”

Section: Digital Guide Production Processmentioning

confidence: 99%

Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology

Zhu

Lin

Chen

2022

BioMed Research International

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Objective. To model and compare the stress variation and distribution of the implant and its supporting components under two types of loading with the abutment in the axial and coronal lingual augmentation positions by means of the 3D finite element method. Method. 15 all-ceramic crowns completed by the same technician between the years 2014 and 2015 were randomly selected. A high precision laser scanner was used to scan the specimen models of all-ceramic crowns and then converted and imported into the promapping software to create 15 solid models each in the axial position of the crown and the lingual augmentation position of the crown. Results. We showed that the abutments were significantly more stressed in the bone cortex than in the bone cancellous under both loads when the abutments were in the long axis position and in the lingual ridge position of the dentition. The distribution of stresses in the bone tissue was mainly concentrated in the cortical bone. The stresses induced by oblique forces were greater than those induced by vertical forces. When comparing the abutment in the long axis position of the dentition with the lingual ridge position of the dentition, the peak stresses obtained from the stress analysis of the abutment in the lingual ridge position were all increased to different degrees under both loads, and the differences were statistically significant ( p < 0.05 ) suggesting that the design of the abutment in the direction of the long axis of the dentition is less stressful than that of the crown in the lingual augmentation position, and the risk of alveolar ridge resorption and screw fracture is less. Conclusion. In this paper, we proposed a dental 3D scanning system, which is less stressful based on a 3D reconstruction algorithm using Fourier transform contouring that achieved a speed dental 3D scanner with Fourier transform contouring by projecting a raster pattern onto a dental impression.

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Section: Digital Guide Production Processmentioning

confidence: 99%

Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology

Zhu

Lin

Chen

2022

BioMed Research International

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“…When minimized, the truth tables for rules 60, 90, 102, 150, 170, 204, and 240 result in the logic functions noted in Table 1, where ) (t q i denotes the state of the i -th CA cell at the t -th time, and 1 i q and 1 + i q refer to the state of its left and right neighbors [7][8][9].…”

Section: Proposed Methodsmentioning

confidence: 99%

Video Image Encryption Technique Using Maximum-Length Cellular Automata and Arnold’s Cat Map

Cho

et al. 2015

AMM

Self Cite

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In this paper, we propose a video image encryption approach by using maximum length cellular automata (MLCA) methods. First, the plane images of video of the encryption method are obtained by dividing frame units. Then the XOR operation and Arnold transform are applied to each of RGB plane images. Lastly, the encryption image is encrypted by the basis image of MLCA. To demonstrate the usefulness of the proposed method, we carry out preliminary experiments and present the experimental results. The experimental results show that the proposed method provides high security.

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“…In 2013, Kim et al [11] presented a 3D image encryption method based on II and maximum length cellular automata (CA). In this method, the picked-up EIA was encrypted by the 2D maximum length CA.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Image Security System Combines the Use of Smart Mapping Algorithm and Fibonacci Transformation Technique

Cho

Lee

et al. 2014

Journal of Applied Research and Technology

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In this paper, a three-dimensional (3D) image security system combines the use of the smart pixel mapping (SPM) algorithm and the Fibonacci transformation technique is proposed. In order to reconstruct orthoscopic 3D images with improved image quality, a smart pixel mapping process is adopted. Based on the SPM-based computational integral imaging (CII) system, the depth-converted elemental image array (EIA) is obtained for increasing the quality of the reconstructed image. In the encryption process, the depth-converted EIA is scrambled by the Fibonacci transformation (FT) algorithm. Meanwhile, the computational integral imaging reconstruction (CIIR) technique is used to reconstruct the 3D image in the image reconstruction process. Compared with conventional CII-based 3D image encryption methods, the proposed method enable us to reconstruct high-resolution orthoscopic 3D images at long distance. To demonstrate the effectiveness of the proposed method, some numerical experiments are made to test the validity and the capability of the proposed 3D image security system.

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3D Image Encryption Using Integral Imaging Scheme and MLCA Technology

Cited by 9 publications

References 11 publications

Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology

Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology

Video Image Encryption Technique Using Maximum-Length Cellular Automata and Arnold’s Cat Map

Three-Dimensional Image Security System Combines the Use of Smart Mapping Algorithm and Fibonacci Transformation Technique

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