[PDF] Top 20 Single image super-resolution by directionally structured coupled dictionary learning
Has 10000 "Single image super-resolution by directionally structured coupled dictionary learning" found on our website. Below are the top 20 most common "Single image super-resolution by directionally structured coupled dictionary learning".
Single image super-resolution by directionally structured coupled dictionary learning
... 216 dictionary atoms for each directional ...216 dictionary atoms in the spatial ...are super-resolved by different scale ...a single uni- versal dictionary for the task of SISR as well ... See full document
12
EMPLOYING STRUCTURAL AND STATISTICAL INFORMATION TO LEARN DICTIONARY (S) FOR SINGLE IMAGE SUPER-RESOLUTION IN SPARSE DOMAIN-A REVIEW
... for super-resolution is generally classified into 2 families of methods: (i) The classical multi-image super-resolution (combining pictures obtained at sub pixel misalignments), and ... See full document
6
Super-Resolution Reconstruction for Cardiac MRI using Coupled Dictionary Learning
... the image sequence under a certain scarifying ...of dictionary learn ing (DL) in M RI has attracted a lot of ...a dictionary is learned to sparsely represent images ... See full document
6
Learning Based Single-Frame Image Super-Resolution using Contourlet Transform
... details. Image super-resolution (SR) reconstruction is a technique by which one can enhance the spatial resolution of an ...LR image is up sampled from one or several low ... See full document
5
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) ...classical coupled ... See full document
19
Anchored neighborhood deep network for single-image super-resolution
... for single-image ...the image high-frequency details can be computed by the input low-frequency patches multiplied by a precomputed matrix, which is well trained by a large amount of low and high ... See full document
12
Dictionary Learning Based Super Resolution Reconstruction Algorithm for Biomedical Images
... algorithm, learning based algorithm and reconstruction ...In learning based algorithms are need to careful selection of training set, the reconstruction algorithm with dictionary learning ... See full document
7
Image Super-Resolution Reconstruction Based On Multi-Dictionary Learning
... the single dictionary cannot be adapted to variety types of images and the reconstruction quality couldn’t meet the application, we propose a novel Multi-Dictionary Learning algorithm for ... See full document
9
Image Super Resolution Reconstruction based on Multi Groups of Coupled Dictionary and Alternative Learning
... high resolution image patches or high and low resolution image ...the learning efficiency is relative ...low resolution patches have same local geometrical ...low ... See full document
10
Group based single image super resolution with online dictionary learning
... general image inverse problem and develop an efficient and effec- tive algorithm for image restoration and image compres- sive sensing ...input image into several groups to com- bine the ... See full document
12
Single Image Super Resolution Algorithms: A Survey and Evaluation
... based Super resolution algorithms: A number of proposed algorithms [7, 8] make use of the natural image self-similarity property to construct scale space pyramids of low resolution, to match ... See full document
7
IMPROVEMENT OF IMAGE APPLYING FUZZY LOGIC
... definition image is must to get a precise result for evidences and also to prevent future ...high resolution images are not always available; this is because it is often costly to obtain a high ... See full document
6
Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise
... the image needs to have circular boundary. For the observed image (y) with size of M × N, reflection symmetric extension is performed on it, and the size of the extended image becomes 2M× ...extended ... See full document
7
Performance Analysis of Wavelet Transforms for Learning based Single Frame Image Super resolution
... spatial resolution is increased by proper fusion of a series of accurately registered aliased images ...high resolution image correctly. The quality of reconstructed SR image obtained from a ... See full document
6
Applications, Promises, and Pitfalls of Deep Learning for Fluorescence Image Reconstruction
... Deep Learning in fluorescence microscopy and key concepts. (a) Learning to reduce scattered light ’haze’ in light-sheet ...(b) Learning spectral unmixing of simultaneous multi-color ...(c) ... See full document
14
Hybrid Super Resolution using SWT and CT
... directions and positions at each length scale. So compared to wavelet transform which has only three directions, curvelet transform is more advantageous to represent curves in images. This paper combines the advantages ... See full document
6
Super-Resolution and Iterative Cascaded De- blocking of Compressed Images
... In this section, a generalization of the relationship between lost HF profile and down sampled HF profile into the iterative de-blocking procedure takes place. Here one simple approach is used where the local patches of ... See full document
6
A MULTIPLE LEVEL EXAMPLAR BASED IMAGE INPAINTING WITH SINGLE IMAGE SUPER RESOLUTION
... Available Online at www.ijpret.com 1701 priority Belief Propagation in order to deal with this complexity bottleneck. Indeed, the number of labels in [23] is equal to the number of patches in the source region. Here the ... See full document
15
ISAR HRRP Super Resolution Reconstruction Based on Couple Dictionary Learning
... In this paper, an ISAR super-resolution imaging algorithm based on joint dictionary learning is proposed, which means we find two special sets of sparse signals from numerous high and lo[r] ... See full document
7
Expelling Undesired Targets from an Image Exploiting Surface Synthesis and Dispersion Based Technique
... In this paper we previewed multiple methods, algorithms and ideas for image inpainting. There is a lot of scope for inpainting technique in future to reproduce the output image as a HD image. Also ... See full document
6
Related subjects