[PDF] Top 20 Dictionary Learning for Scalable Sparse Image Representation with Applications
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Dictionary Learning for Scalable Sparse Image Representation with Applications
... effective scalable recovery, we find that it is necessary to ensure that the main object shapes are identified from the beginning of the image recon- ...to scalable dictionary ...the image ... See full document
20
Online Dictionary Learning using Biogeography based Optimization for Sparse Representation
... of sparse coding and dictionary learning in computer vision is inspired by works in the neuroscience community [7] and researchers in ma- chine vision tried to adapt it such as works presented in [8, ... See full document
6
Local Identification of Overcomplete Dictionaries
... in dictionary learning has been on the development of ...of learning algorithms, that perform well in experiments and are popular in applications (Field and Olshausen, 1996; Kreutz- Delgado ... See full document
32
Noise reduction of diffusion tensor images by sparse representation and dictionary learning
... the sparse representation and dictionary ...tive dictionary for maximal sparse representation of the ...specified dictionary from traditional transforms, adaptive learned ... See full document
11
Removing Of Rain Streaks in an Image Using Dictionary Learning and Sparse Coding With Compression
... various applications in the field of security surveillance, vision based navigation, video/movie editing and video ...an image decomposition problem based on morphological component ...conventional ... See full document
6
SSIM-inspired image restoration using sparse representation
... for sparse and redun- dant dictionary in maximal SSIM ...distorted image and the image reconstructed using sparse ...in image processing ...the dictionary learning ... See full document
12
A Fast Dictionary Learning Algorithm for Image Denoising
... for learning overcomplete dictionary, which is based on a special partition tree ...construction dictionary step. Experimental results on synthetic data and image patches illustrate that FTTSP ... See full document
9
Multi view multi instance learning based on joint sparse representation and multi view dictionary learning
... a sparse ε -graph model that can generate different graphs with different parameters to represent various context relations in a bag, (ii) we propose a multi-view joint sparse representation that ... See full document
9
Singular Value Decomposition based Image Denoising
... of image processing is image denoising and it is the base for many applications, one of them is feature ...the image quality. It is the process of reconstructing the original image by ... See full document
6
K SVD: Dictionary Developing Algorithms for Sparse Representation of Signal
... Sparse representations using learned dictionaries D are being more helpful with success in various type of data processing and machine learning applications. The accessibility of large amount of ... See full document
6
Application of Bayes Compressed Sensing in Image rocessing
... etc. Sparse representation theory indicates that sparser representation of image can be realized through further enhancing redundancy of system and forming over-complete ...the ... See full document
7
An Alternative Scalable Video Coding Scheme Used For Efficient Image Representation In Multimedia Applications
... The complete MP3D encoder can be represented with the block diagram in Figure 1. The original video sequence is Þrst segmented in group of 16 frames (GOP), whose length has been chosen as a good trade-off between ... See full document
6
Fingerprint Compression using Sparse Representation
... adaptive learning dictionary to compress image along with neural network to estimate the ...a dictionary of predefined fingerprint patches is constructed which is than quantized and ... See full document
5
SAR Image Target Detection Method Based on Sparse Representation
... of dictionary construction problems can be divided into two types: one is the theory of harmonic analysis which is represented by wavelet transform and the other is adaptive algorithm, a typical method of which is ... See full document
6
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 classification ... See full document
13
Image Compression Via Sparse Representation
... good sparse representation, the design of an appropriate over-complete dictionary is the key ...over-complete dictionary D can be roughly parted into two main ...best sparse description ... See full document
7
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 ...of dictionary learning. This indicates that ... See full document
5
SECURE ROUTING IN MANET USING ASYMMETRIC GRAPHS
... The learning dictionaries in applications depend on how suitable they are to sparsely describe the signals in ...between sparse coding of the examples based on the current dictionary and an ... See full document
7
Robust sparse representation based multi focus image fusion with dictionary construction and local spatial consistency
... multi-sensor image fusion, including multi-focus image fusion, in recent years [1-9, ...into image fusion, where the l 1 -norm of the SR coefficient vector ...local image patch and the fused ... See full document
32
Reverse Sparse Representation for Single Image Super-Resolution
... machine learning based super-resolution (SR) method is how to describe the relationship between the low-resolution (LR) and high-resolution (HR) ...images. Sparse representation techniques have ... See full document
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