[PDF] Top 20 Image Inpainting Based on Sparse Representation with Histogram Dictionary
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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
Image inpainting based on sparse representations with a perceptual metric
... fast computation can be realized. On the other hand, the proposed method is about 1.2 to 4.7 times (2.9 times on average) faster than the method in [35]. In this method, the kernel PCA is adopted, and we have to ... See full document
26
Fingerprint Compression using Sparse Representation
... of dictionary, compression using Discrete Cosine transform, Image separation using sparse representation and authenticating the person by simulating Neural network based upon mean and ... See full document
5
Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... algorithm based on sparse representation has made a great breakthrough in face ...conventional dictionary learning methods lacking adaptability, we propose a kernel collaborative ... See full document
8
Robust sparse representation based multi focus image fusion with dictionary construction and local spatial consistency
... each image patch is individually taken into account during sparse coding and fusion, giving rise to the spatial artifacts on the fused ...among image patches, the number of input patches to be fused ... See full document
32
SAR Image Target Detection Method Based on Sparse Representation
... over-complete dictionary can be either the direct image pixel or the transformed characteristic ...the image pixels are directly used, they are usually sampled by Gaussian random projection because ... See full document
6
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... improving image compression using sparse approximation ...over-complete dictionary, whose linear combination will efficiently approximate the given signal [2], ...compression, image ... See full document
7
Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms
... a dictionary configuration framework designed for improving the sparsity in terms of mass ...posed dictionary configuration is incorporated into the sparse representation based ... See full document
13
Online Dictionary Learning using Biogeography based Optimization for Sparse Representation
... termed sparse because only a small number of atoms / coefficients will be selected by the representation ...the dictionary adaptive to the target image so as to achieve better sparsity than ... See full document
6
A Novel Inpainting Algorithm based on Sparse Representation
... novel dictionary pruning algorithm is presented for sparse representation inpainting which is used to obtain a better convergence speed and performance for the decomposition ...the ... See full document
7
Dictionary Learning for Scalable Sparse Image Representation with Applications
... and sparse modeling dictionary learning frame- work which basic outline was originally presented in [24, ...a dictionary capable of adapting both to a specific dataset and providing its effective ... See full document
20
Combined Dictionary Learning in Facial Expression Recognition
... of dictionary learning is not as good as Gabor+PCA+FLD [1], the av- erage time of testing one image is more than 100 times ...is based on nearest neighbor, it could be expected that the performance ... See full document
5
Noise reduction of diffusion tensor images by sparse representation and dictionary learning
... novel sparse representation based denoising method for 3D DTI by learning adaptive dictionary with the context redundancy between neighbor ...images, dictionary learning is intro- duced ... See full document
11
Image Compression Via Sparse Representation
... years sparse representation has become a hot topic in the research of image representation model and there has been a growing interest in the study of image compression based on ... See full document
7
Dictionary Learning Based Super Resolution Reconstruction Algorithm for Biomedical Images
... learning based algorithm and reconstruction algorithm. The interpolation based algorithms are fast but result not ...learning based algorithms are need to careful selection of training set, the ... See full document
7
A Survey on Various Single Image Super Resolution Techniques
... textual image using sparse representation that suggest image patches from suitable dictionary ...dictionaries based clustered sparse coding approach for single text ... See full document
5
ITS Cluster Based Efficient Exemplar Image Inpainting Technique
... exemplar-based Inpainting approach was reported in which missing regions are inpainted on a patch by patch ...The Inpainting approach in gave impressive results especially in the cases of large miss ... See full document
5
Image similarity using sparse representation and compression distance
... new image encoder is proposed based on the finite context model and preliminary results on a face database are provided ...measure image similarity ... See full document
21
Comparison of various Edge Detection Techniques for maximum data hiding using LSB Algorithm
... an image, he or she will not be able to know the pattern in which data has been hidden without prior knowledge of the various edge detection techniques which have a randomness in their bit ... See full document
6
Restoration Of Image Using Sr Based Image Inpainting Techniques
... Recently, image statistics learned from the naturalimages are applied to the task of image ...Thediffusion-based inpainting algorithms have achievedconvincingly excellent results for filling ... See full document
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