Image Super Resolution Using Wavelet Transformation Based Genetic Algorithm

2015 ◽  
pp. 355-361 ◽  
Author(s):  
Sudam Sekhar Panda ◽  
Gunamani Jena
Keyword(s):  
Genetic Algorithm ◽  
Wavelet Transformation ◽  
Super Resolution ◽  
Image Super Resolution

scholarly journals Wavelet Domain Multidictionary Learning for Single Image Super-Resolution

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaomin Wu ◽  
Jiulun Fan ◽  
Jian Xu ◽  
Yanzi Wang
Keyword(s):  
Wavelet Transformation ◽  
Super Resolution ◽  
Principal Component ◽  
Discrete Wavelet ◽  
Single Image ◽  
Image Super Resolution ◽  
Single Image Super Resolution ◽  
Relationship Of ◽  
The Given ◽  
The Relationship

Image super-resolution (SR) aims at recovering the high-frequency (HF) details of a high-resolution (HR) image according to the given low-resolution (LR) image and some priors about natural images. Learning the relationship of the LR image and its corresponding HF details to guide the reconstruction of the HR image is needed. In order to alleviate the uncertainty in HF detail prediction, the HR and LR images are usually decomposed into 4 subbands after 1-level discrete wavelet transformation (DWT), including an approximation subband and three detail subbands. From our observation, we found the approximation subbands of the HR image and the corresponding bicubic interpolated image are very similar but the respective detail subbands are different. Therefore, an algorithm to learn 4 coupled principal component analysis (PCA) dictionaries to describe the relationship between the approximation subband and the detail subbands is proposed in this paper. Comparisons with various state-of-the-art methods by experiments showed that our proposed algorithm is superior to some related works.

scholarly journals Single image super-resolution reconstruction based on genetic algorithm and regularization prior model

2016 ◽  
Vol 372 ◽  
pp. 196-207 ◽  
Author(s):  
Yangyang Li ◽  
Yang Wang ◽  
Yaxiao Li ◽  
Licheng Jiao ◽  
Xiangrong Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Super Resolution ◽  
Single Image ◽  
Prior Model ◽  
Image Super Resolution ◽  
Single Image Super Resolution

A Short Survey of Image Super Resolution Algorithms

2015 ◽  
Vol 2 (2) ◽  
pp. 19-29 ◽  
Author(s):  
Heng Liu ◽  
◽  
Dongdong Huang
Keyword(s):  
Super Resolution ◽  
Short Survey ◽  
Image Super Resolution

Facial Image Super-Resolution Reconstruction Based on Separated Frequency Components

2013 ◽  
Vol E96.A (6) ◽  
pp. 1315-1322 ◽  
Author(s):  
Hyunduk KIM ◽  
Sang-Heon LEE ◽  
Myoung-Kyu SOHN ◽  
Dong-Ju KIM ◽  
Byungmin KIM
Keyword(s):  
Super Resolution ◽  
Facial Image ◽  
Frequency Components ◽  
Image Super Resolution

A Novel Approach for Image Super Resolution Problems with Convolution Neural Networks

2017 ◽  
Vol 6 (4) ◽  
pp. 15
Author(s):  
JANARDHAN CHIDADALA ◽  
RAMANAIAH K.V. ◽  
BABULU K ◽  
◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Super Resolution ◽  
Convolution Neural Networks ◽  
Novel Approach ◽  
Image Super Resolution

A Fast Decoupling Algorithm for Image Super-resolution Reconstruction of Space-invariant System

2010 ◽  
Vol 36 (2) ◽  
pp. 229-236 ◽  
Author(s):  
Li-Li HUANG ◽  
Liang XIAO ◽  
Zhi-Hui WEI ◽  
Jun ZHANG
Keyword(s):  
Super Resolution ◽  
Invariant System ◽  
Image Super Resolution ◽  
Decoupling Algorithm
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