Artifact analysis and image enhancement in three-dimensional computational integral imaging using smooth windowing technique

2011 ◽  
Vol 36 (11) ◽  
pp. 2107 ◽  
Author(s):  
Hoon Yoo
Keyword(s):  
Image Enhancement ◽  
Three Dimensional ◽  
Integral Imaging ◽  
Artifact Analysis ◽  
Computational Integral Imaging ◽  
Windowing Technique

scholarly journals Image Enhancement for Computational Integral Imaging Reconstruction via Four-Dimensional Image Structure

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4795
Author(s):  
Joungeun Bae ◽  
Hoon Yoo
Keyword(s):  
Image Enhancement ◽  
Visual Information ◽  
Three Dimensional ◽  
Adjustable Parameter ◽  
Reconstruction Method ◽  
Integral Imaging ◽  
Image Structure ◽  
Imaging Reconstruction ◽  
Computational Integral Imaging

This paper describes the image enhancement of a computational integral imaging reconstruction method via reconstructing a four-dimensional (4-D) image structure. A computational reconstruction method for high-resolution three-dimensional (3-D) images is highly required in 3-D applications such as 3-D visualization and 3-D object recognition. To improve the visual quality of reconstructed images, we introduce an adjustable parameter to produce a group of 3-D images from a single elemental image array. The adjustable parameter controls overlapping in back projection with a transformation of cropping and translating elemental images. It turns out that the new parameter is an independent parameter from the reconstruction position to reconstruct a 4-D image structure with four axes of x, y, z, and k. The 4-D image structure of the proposed method provides more visual information than existing methods. Computer simulations and optical experiments are carried out to show the feasibility of the proposed method. The results indicate that our method enhances the image quality of 3-D images by providing a 4-D image structure with the adjustable parameter.

Novel 3-D Image Encryption Using Computational Integral Imaging and Linear-Complemented MLCA

2013 ◽  
Vol 284-287 ◽  
pp. 2992-2997 ◽  
Author(s):  
Xiao Wei Li ◽  
Dong Hwan Kim ◽  
Sung Jin Cho ◽  
Seok Tae Kim
Keyword(s):  
Image Encryption ◽  
Three Dimensional ◽  
Experimental Results ◽  
Secret Key ◽  
Integral Imaging ◽  
Key Space ◽  
Lenslet Array ◽  
Encryption Schemes ◽  
Computational Integral Imaging ◽  
Encryption Method

Three dimensional (3-D) images encryption schemes can provide feasible and secure for images encryption due to the 3-D properties of images. In this paper, we present a novel 3-D images encryption algorithm by combining use of integral imaging (II) and maximum-length cellular automata (MLCA) as the secret key ciphering for 3D image encryption technique. In this proposed algorithm, a lenslet array first decomposes the 3-D object into 2-D elemental images (EIs) via the pick-up process of II. We encrypt the 2-D EIs with an encryption method based on linear and complemented MLCA. Decryption process is the opposite of operation encryption process: The 2-D EIs is recovered by the MLCA key, 3-D object is reconstructed by the recovered EIs via computational integral imaging (CII) reconstruction. To verify the usefulness of the proposed algorithm, we carry out the computational experiments and present the experimental results for various attacks. Experimental results show that the proposed algorithm can improve the performance of encryption against various attacks due to large key space in MLCA and 3-D characteristic of data redundancy.

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