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[PDF] Top 20 A Fast Dictionary Learning Algorithm for Image Denoising

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A Fast Dictionary Learning Algorithm for Image Denoising

A Fast Dictionary Learning Algorithm for Image Denoising

... a fast top-bottom two-dimensional subspace partition algorithm (FTTSP algorithm) for learning overcomplete dictionary, which is based on a special partition tree ...our algorithm ... See full document

9

Image Super Resolution Reconstruction Based MCA and PCA Dimension Reduction

Image Super Resolution Reconstruction Based MCA and PCA Dimension Reduction

... The image qual- ity of this algorithm is better, but the effect of the training sample is larger, the training speed is slow, the effect of the reconstruction is more dependent on the choice of the training ... See full document

13

Dictionary Learning for Scalable Sparse Image Representation with Applications

Dictionary Learning for Scalable Sparse Image Representation with Applications

... the dictionary learning algorithm, intended for scalable sparse representation of high motion video sequences and natural ...proposed algorithm is built upon the foundation of the K-SVD ... See full document

20

Image Restoration by Linear Regression for Gaussian Noise Removal from Natural Images

Image Restoration by Linear Regression for Gaussian Noise Removal from Natural Images

... mechanism, dictionary is trained with a known input and output ...input image. The regression methods in supervised learning mechanisms are Support Vector Machine, Naïve Bayes and k-Nearest neighbor ... See full document

5

Fast dictionary learning from incomplete data

Fast dictionary learning from incomplete data

... The dictionary learning community does not directly address the problem under ...the image processing community, where they, among other tasks, are used for ...KSVD algorithm to handling ... See full document

21

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary

... of dictionary redundancy. The research on image reconstruction based on redundant dictionaries is mainly focused on the following two aspect: (1) designing more efficient algorithms to reduce the ... See full document

6

Medical Image Segmentation of Improved Genetic Algorithm Research Based on Dictionary Learning

Medical Image Segmentation of Improved Genetic Algorithm Research Based on Dictionary Learning

... genetic algorithm can find the optimal solution by tenth ...netic algorithm based on dictionary learning, which can be used to separate multiple targets and control the noise better than dual ... See full document

8

Image Denoising by Enhancing K-SVD Algorithm

Image Denoising by Enhancing K-SVD Algorithm

... recognition algorithm we use the probabilistic Hough transform [11] integrated in the OpenCV library to speed up line ...the image we first perform line detection and only map the line segments to speed up ... See full document

6

Sparse Coding for Arabic Phoneme Classification

Sparse Coding for Arabic Phoneme Classification

... a dictionary that can represent the signals of interest as a linear combination of a few number of its columns, second we should solve the sparse coding inverse problem to find the sparse code of the signal on the ... See full document

11

Detection and Dismissal of Rain or Snow in a Single Tone Image

Detection and Dismissal of Rain or Snow in a Single Tone Image

... Single Image Via Discriminative Sparse Coding: The paper aims at developing an effective algorithm to remove visual effects of rain from a single rain image, ...rained image layer from a rain ... See full document

5

A Survey on Text (Tag) Based Search to Retrieve and Classify Images in Different Categories

A Survey on Text (Tag) Based Search to Retrieve and Classify Images in Different Categories

... “Multi-label Dictionary Learning for Image Annotation” in that they proposed multi-label dictionary learning (MLDL) for label consistency regularization and label ...of image ... See full document

5

An augmented Lagrangian multi-scale dictionary learning algorithm

An augmented Lagrangian multi-scale dictionary learning algorithm

... DCT dictionary (Figure 5a) and the other is a random matrix whose atom is randomly chosen from the training data (Figure ...pixel image. Then ALM-DL and K-SVD are used for denoising the image ... See full document

16

Singular Value Decomposition based Image Denoising

Singular Value Decomposition based Image Denoising

... In dictionary based learning, training an over-complete dictionary for the patch representation of an image has been broadly analysed in many research ...A denoising algorithm ... See full document

6

DESIGN AND DEVELOPMENT OF A TIME EFFICIENT IMAGE DENOISING ALGORITHM FOR REAL TIME SYSTEMS

DESIGN AND DEVELOPMENT OF A TIME EFFICIENT IMAGE DENOISING ALGORITHM FOR REAL TIME SYSTEMS

... the image having noise it should be pre-processed (de-noise) before it going to ...an Image Data Acquisition ...efficient image de- noising algorithm for real time systems using Java” is to ... See full document

8

An Enhanced Image Denoising technique using Wavelet Threshold and Genetic Algorithm

An Enhanced Image Denoising technique using Wavelet Threshold and Genetic Algorithm

... Genetic Algorithm [21-25] is a method simulated with evolutionary of self-existence and fittest ...Genetic algorithm is simple, robust, and with prominent characteristics of self-organization, ... See full document

9

Efficient Image Denoising Algorithm for Gaussian and Impulse Noises

Efficient Image Denoising Algorithm for Gaussian and Impulse Noises

... Fuzzy image processing is not a unique ...Fuzzy image processing has 3 main steps: image fuzzification, modification of membership values, and if necessary, image ... See full document

7

Research on vocal sounding based on spectrum image analysis

Research on vocal sounding based on spectrum image analysis

... The research on vocal singing technology has a long his- tory. In the process, many experts and scholars have continuously studied and summarized this. After re- peated exploration and continuous practice, some rela- ... See full document

10

Denoising of Images Using a Hybrid Image Fusion Algorithm

Denoising of Images Using a Hybrid Image Fusion Algorithm

... An image is basically encoded as an matrix of either grey values or colour ...level image u(i) denotes a grey value whose intensity values ranges from 0 to 255 ...colour image u(i) denotes tripplet ... See full document

6

Denoising Based Clustering Algorithm for Segmentation of Microarray Image

Denoising Based Clustering Algorithm for Segmentation of Microarray Image

... proposed algorithm on a microarray image contaminated by different levels of salt-and-pepper ...microarray image that consists of a total of 38808 ...proposed algorithm are shown in figure 3. ... See full document

5

Study and Analysis of Smoothing Filter for Third Order Edge Detection Operator

Study and Analysis of Smoothing Filter for Third Order Edge Detection Operator

... Abstract: Images corrupted by the noise during either transmission or acquisition process. Filtering and or smoothing an important task to reduce the effect of noise that contaminates images. Hence the processed ... See full document

11

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