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[PDF] Top 20 3 D EIT Image Reconstruction Using a Block Based Compressed Sensing Approach

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3 D EIT Image Reconstruction Using a Block Based Compressed Sensing Approach

3 D EIT Image Reconstruction Using a Block Based Compressed Sensing Approach

... 3D EIT, the sensitivity of the measurements to conductivity changes far from the relevant electrodes is ...Figure 3 shows an example of the effect after ... See full document

7

Application of Gradient Projection for Sparse Reconstruction to Compressed Sensing for Image Reconstruction of Electrical Capacitance Tomography

Application of Gradient Projection for Sparse Reconstruction to Compressed Sensing for Image Reconstruction of Electrical Capacitance Tomography

... to image processing and image reconstruction as the sparsity is one of distinct characteristic of natural ...sample based on the overcomplete dictionary with the training samples as the base ... See full document

7

SPARSE SIGNAL RECONSTRUCTION FROM COMPRESSED SENSING MEASUREMENTS BASED ON DETECTION THEORY

SPARSE SIGNAL RECONSTRUCTION FROM COMPRESSED SENSING MEASUREMENTS BASED ON DETECTION THEORY

... estimation-confirmation approach for finding and estimating nonzero ...estimated using some simple inaccurate approaches and then for confirmation step, the detection theory can be utilized for selection ... See full document

20

Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

... Fig. 3, we can see that the proposed al- gorithm in this paper is insensitive to the number of similar patches, because all the curves are close to ...plexity based on obtaining stable ... See full document

14

Compressed Sensing Reconstruction based on Adaptive Scale Parameter using Texture Feature

Compressed Sensing Reconstruction based on Adaptive Scale Parameter using Texture Feature

... single image in LabelMe dataset ...small image patches of size 32 X 32 pixels for reducing the computational ...texture image-based adaptive scale ...TACS-SDANN using the proposed ... See full document

7

A Distributed Compressed Sensing for Images Based on Block Measurements Data Fusion

A Distributed Compressed Sensing for Images Based on Block Measurements Data Fusion

... Compressed sensing (CS) is a new technique for simultaneous data sampling and ...distributed compressed sensing for image using block measurements data ...original ... See full document

6

Adaptive Sampling Rate Allocation Based on Image Entropy for Block Based Compressed Sensing of Video

Adaptive Sampling Rate Allocation Based on Image Entropy for Block Based Compressed Sensing of Video

... . Compressed sensing of video is faced with a number of problems, including large computational burden of reconstruction and high storage of random measurement ...each block. However, in the ... See full document

5

A Signal Recovery Approach with Block Compressive Sensing Based on Image Steganalysis

A Signal Recovery Approach with Block Compressive Sensing Based on Image Steganalysis

... a block compressive sensing (BCS) measurement matrix is designed by using the generalized Gaussian distribution (GGD) ...a reconstruction approach of hidden signal is achieved ... See full document

9

Compressed Sensing MRI Reconstruction Based on Generative Adversarial Nets

Compressed Sensing MRI Reconstruction Based on Generative Adversarial Nets

... traditional compressed sensing method[4]. As shown in Fig. 3, there are almost no artifacts and alising in the reconstructed MR images based on our ...original image better. In ... See full document

9

Object detection oriented video reconstruction using compressed sensing

Object detection oriented video reconstruction using compressed sensing

... scheme using independent component analysis (ICA) for object ...This approach is robust to simple movement ...model based on the fact that the background images consist of different objects whose ... See full document

15

Single breath hold 3D measurement of left atrial volume using compressed sensing cardiovascular magnetic resonance and a non model based reconstruction approach

Single breath hold 3D measurement of left atrial volume using compressed sensing cardiovascular magnetic resonance and a non model based reconstruction approach

... dimensions using Mean-Value coordinates ...tion using the mesh generation package provided by CGAL (Computational Geometry Algorithms Library, ...being based on a geometrical model ... See full document

14

Compressed-sensing-based fluorescence molecular tomographic image reconstruction with grouped sources

Compressed-sensing-based fluorescence molecular tomographic image reconstruction with grouped sources

... the image of ...In image reconstruction of FMT, the quality of reconstructed results can be improved with the increasing number of measurement ...the reconstruction will become lar- ger, which ... See full document

15

IMAGE RECONSTRUCTION USING COMPRESSED SENSING

IMAGE RECONSTRUCTION USING COMPRESSED SENSING

... to image the anatomy and the physiological processes of the body in both health and ...methods based on reducing the total measurements mostly circle around the design of exploiting the redundancy of ... See full document

6

Comparative Study of Image Reconstruction Based on Compressive Sensing

Comparative Study of Image Reconstruction Based on Compressive Sensing

... model based structure to decomposing signals or images, and increasing resolutions so resultant more resolution structure gets the more detailed or information of the ... See full document

5

Performance analysis of Encryption and Decryption Algorithms for Securing Images

Performance analysis of Encryption and Decryption Algorithms for Securing Images

... the image for the presence of information that is more sensitive which needs protection, and to encrypt only such ...whole image, for ...The image encryption is to transmit the image securely ... See full document

6

Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform

Joint sparse reconstruction of multi-contrast MRI images with graph based redundant wavelet transform

... new approach is proposed to simultaneously explore the adaptive sparse image representation under graph- based redundant wavelet transform and the joint sparse reconstruction of multi-contrast ... See full document

16

DE Mosaicing using Matrix Factorization Iterative Tunable Method

DE Mosaicing using Matrix Factorization Iterative Tunable Method

... pixels.A 3-dimensional distance locality that is described to favor the choice of pixels through a structure Same to that of the lost pixels in the ...original image to resolve the inverse problem of ... See full document

8

Improved Reconstruction for Cardiac MRI using Coupled Dictionary Learning

Improved Reconstruction for Cardiac MRI using Coupled Dictionary Learning

... patch based spatiotemporal dictionary learning (DL) model is proposed for compressed-sensing reconstruction of dynamic images from under sampled ...dynamic image sequence is divided ... See full document

5

Electrical impedance tomography imaging using a priori ultrasound data

Electrical impedance tomography imaging using a priori ultrasound data

... ducer to receiving the reflected signal is recorded. The velocity of the ultrasound wave within the fluid is depend- ent on its compressibility and density. The distance trav- elled is calculated from the time of flight ... See full document

8

A novel time-difference electrical impedance tomography algorithm using multi-frequency information

A novel time-difference electrical impedance tomography algorithm using multi-frequency information

... kHz using Ag–AgCl ...into 3 mm × 3 mm cubes for placement in the measurement box, which had a diameter of 1 cm and a height of ...calculated using the specific calculation formula for this ... See full document

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