[PDF] Top 20 A Novel Inpainting Algorithm based on Sparse Representation
Has 10000 "A Novel Inpainting Algorithm based on Sparse Representation" found on our website. Below are the top 20 most common "A Novel Inpainting Algorithm based on Sparse Representation".
A Novel Inpainting Algorithm based on Sparse Representation
... the sparse representation for a given ...But inpainting based on sparse representation using learned dictionary would take more computation ...a novel dictionary pruning ... See full document
7
Single and multiple object tracking using a multi feature joint sparse representation
... subspace-based algorithm in [4] is a typical single object tracking algorithm, widely used for ...subspace-based algorithm to track multi-objects by tracking multi-objects ... See full document
30
Face Hallucination Using Sparse Representation Algorithm
... computationally uplifted and subject to the offensive impacts of coefficient corruption, where for instance, blends in carriage may affect character and surge acknowledgment. We propose a technique, called LGE- KSVD that ... See full document
7
ISAR Imaging Based on Iterative Reweighted Lp Block Sparse Reconstruction Algorithm
... algorithms based on sparse signal recovery only consider the sparsity of the ...A novel ISAR imaging algorithm based on iterative reweighted block sparse signal recovery is ... See full document
8
Holographic detection of AIS real time signals based on sparse representation
... signal based on sparse representation is presented in this ...a novel fast noise resistance Orthogonal Matching Pursuit (OMP) algorithm is ...OMP algorithm can greatly reduce the ... See full document
10
Off -Grid DOA Estimation Based on Sparse Representation and Rife Algorithm
... RV-SRACV algorithm is smaller than the other two algorithms under the same ...RV-SRACV algorithm is the shortest, and it is illustrated in these simulations that RV-SRACV algorithm achieves better ... See full document
9
K SVD: Dictionary Developing Algorithms for Sparse Representation of Signal
... process sparse representation coding is the process for finding the coefficient based on signal y having the dictionary D by using the equation(P0) min ||x||0 subject to y = ...the sparse ... See full document
6
Motion Compensation Algorithm for Single Track FMCW CSAR by Parametric Sparse Representation
... imaging algorithm and combines the motion compensation algorithm to correct the motion ...this algorithm, a multi-track resampling method is used to correct the motion errors caused by nonuniform ... See full document
15
Combined Dictionary Learning in Facial Expression Recognition
... is based on nearest neighbor, it could be expected that the performance would be better if more powerful classifica- tion algorithms are ...and sparse representation might get more promising results ... See full document
5
Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method
... a novel sparse representation based variable selection (SRVS) method was proposed and applied to an integrative analysis of two types of data: fMRI and SNP, aiming to obtain comprehensive ... See full document
8
Sparse representation based DOA estimation of coherent wideband LFM signals in FRFT domain
... LFM signal is a kind of classical non-stationary signal, which is widely used in radar, sonar, seismic detection, and so on. However, the traditional high-resolution DOA estimation algorithm does not apply to such ... See full document
9
Research on 2D Face Representation and Recognition
... years, sparse representation (SR) method has been successfully applied to the study of face ...extended sparse representation to kernel sparse representation ...the sparse ... See full document
5
Fingerprint Compression Based on Sparse Representation
... Given a new fingerprint, slice it into square patches which have the same size with the training patches. The size of the patches has a direct impact on the compression efficiency. The algorithm becomes more ... See full document
21
A Novel Exemplar Based Image Inpainting Method
... One more algorithm for recovering small regions and noise in an image is proposed in paper 5 . This can inpaint images with very high noise ratio. Method uses Cellular Neural Networks for the same. The noise ... See full document
6
Image inpainting based on sparse representations with a perceptual metric
... are based on least squares approximation for ...that inpainting minimizing the mean square error (MSE) of intensities, which is the most popular metric, is per- ... See full document
26
A novel sparse representation algorithm for AIS real time signals
... a novel signal sparse representation algo- rithm has been proposed and applied on AIS ...the sparse rep- resentation are studied with different values of iterations, number of elements in each ... See full document
10
Graphical Authentication Mechanisms: A Survey
... In [1], a novel image denoising strategy based on an enhanced sparse representation in transform domain is proposed. The enhancement of the sparsity is achieved by grouping similar 2D image ... See full document
7
Facial Expression Recognition via Kernel Sparse Representation
... kernel sparse representation based classification (KSRC) ...find sparse representation coefficients in a high-dimensional feature space (also called kernel feature space) rather than in ... See full document
6
A Novel Sparse Representation Method of Occluded Images for Face Recognition
... Sparse representation face recognition (SRC) is model based on the image subspace assumption , it uses training sample images to span a face ...In sparse representation, faces to be ... See full document
5
Image Inpainting Based on Sparse Representation with Histogram Dictionary
... (PSNR) between the result and the original image is summarized in Table 1. It can be seen in Fig. 6, the Criminisi’s algorithm cause obvious miscopies in the third row. For instance, the snow mountain in (c) of ... See full document
11
Related subjects