Quality evaluation of DIBR 3D images based on blind watermarking

2018 ◽  
Vol 25 (3) ◽  
pp. 195-211
Author(s):  
Lei Chen ◽  
Jiying Zhao
Keyword(s):  
Quality Evaluation ◽  
Blind Watermarking ◽  
3D Images

scholarly journals Three-Dimensional Image Quality Evaluation and Optimization Based on Convolutional Neural Network

2021 ◽  
Vol 38 (4) ◽  
pp. 1041-1049
Author(s):  
Xiujuan Luo
Keyword(s):  
Neural Network ◽  
Image Quality ◽  
Convolutional Neural Network ◽  
3D Imaging ◽  
Quality Evaluation ◽  
Three Dimensional ◽  
3D Image ◽  
3D Images ◽  
Image Quality Evaluation ◽  
Global And Local

Currently, three-dimensional (3D) imaging has been successfully applied in medical health, movie viewing, games, and military. To make 3D images more pleasant to the eyes, the accurate judgement of image quality becomes the key step in content preparation, compression, and transmission in 3D imaging. However, there is not yet a satisfactory evaluation method that objectively assesses the quality of 3D images. To solve the problem, this paper explores the evaluation and optimization of 3D image quality based on convolutional neural network (CNN). Specifically, a 3D image quality evaluation model was constructed, and a 3D image quality evaluation algorithm was proposed based on global and local features. Next, the authors expounded on the preprocessing steps of salient regions in images, depicted the fusion process between global and local quality evaluations, and provided the way to process 3D image samples and acquire contrast-distorted images. The proposed algorithm was proved effective through experiments.

A SIFT features based blind watermarking for DIBR 3D images

2017 ◽  
Vol 77 (7) ◽  
pp. 7811-7850 ◽  
Author(s):  
Seung-Hun Nam ◽  
Wook-Hyoung Kim ◽  
Seung-Min Mun ◽  
Jong-Uk Hou ◽  
Sunghee Choi ◽  
...  
Keyword(s):  
Blind Watermarking ◽  
3D Images ◽  
Sift Features

A Method for Obtaining High-Coverage 3D Images of Rough Seafloor Using AUV – Real-Time Quality Evaluation and Path-Planning –

2013 ◽  
Vol 25 (2) ◽  
pp. 364-374 ◽  
Author(s):  
Ayaka Kume ◽  
◽  
Toshihiro Maki ◽  
Takashi Sakamaki ◽  
Tamaki Ura
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Quality Evaluation ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
New Method ◽  
3D Image ◽  
High Coverage ◽  
3D Images ◽  
Kagoshima Bay

Autonomous Underwater Vehicles (AUVs) are often used for seafloor exploration, and some AUVs are now being deployed to obtain detailed photomosaics of the seafloor. However, it is difficult for the results to be evaluated on-site, so the image maps obtained often have unscanned areas caused by occlusions, disturbances, etc. In order to improve the coverage of a map, operators have to plan a new path and then redeploy the AUV. This process is quite timeconsuming and troublesome. The authors propose a new method for an AUV to obtain a full-coverage 3D image of a rough, unknown seafloor in a single deployment. First, the AUV observes the seafloor by following a pre-determined path. Second, the AUV calculates the following on-site and based on the data obtained: 3D bathymetry map, unscanned areas on the map, and the next path that can be taken to image the unscanned areas effectively. Then, the AUV follows the new path to obtain better results. The performance of this proposed method is verified in both tank experiments and by simulation. In the experiments, the AUV “Tri-TON” succeeds in generating a route for a second observation, and the coverage increases from 73% to 82%. The performance of the method on the actual seafloor is verified using the results of the tank experiments and the bathymetry data on a chimney in Kagoshima Bay, Japan.

Measurements in 3D images

1991 ◽  
Vol 49 ◽  
pp. 408-409
Author(s):  
John C. Russ
Keyword(s):  
Three Dimensional ◽  
Image Plane ◽  
X Rays ◽  
Traditional Use ◽  
3D Images ◽  
Confocal Scanning Laser Microscope ◽  
Hard Materials ◽  
Depth Direction ◽  
Confocal Scanning ◽  
Confocal Scanning Laser

Three-dimensional (3D) images consisting of arrays of voxels can now be routinely obtained from several different types of microscopes. These include both the transmission and emission modes of the confocal scanning laser microscope (but not its most common reflection mode), the secondary ion mass spectrometer, and computed tomography using electrons, X-rays or other signals. Compared to the traditional use of serial sectioning (which includes sequential polishing of hard materials), these newer techniques eliminate difficulties of alignment of slices, and maintain uniform resolution in the depth direction. However, the resolution in the z-direction may be different from that within each image plane, which makes the voxels non-cubic and creates some difficulties for subsequent analysis.

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