Enhancing inverse halftoning via coupled dictionary training

2016 ◽  
Vol 49 ◽  
pp. 1-8 ◽  
Author(s):  
Pedro G. Freitas ◽  
Mylène C.Q. Farias ◽  
Aletéia P.F. Araújo
Keyword(s):  
Inverse Halftoning ◽  
Dictionary Training

Algorithm of Noise Reduction for Adaptive Dictionary Learning Research Based on Brain MRI Images

2014 ◽  
Vol 687-691 ◽  
pp. 4123-4127 ◽  
Author(s):  
Jia Qing Miao
Keyword(s):  
Sparse Representation ◽  
Image Denoising ◽  
Brain Mri ◽  
Image Representation ◽  
Training Algorithm ◽  
Redundant Dictionary ◽  
Popular Method ◽  
Sparse Decomposition ◽  
Learning Research ◽  
Dictionary Training

Recent years, the image sparse representation has been the popular method in the study of image representation, which has put forward a new idea in the image denoising. Its basic principle is that the original image has the sparse representation under the proper over-complete dictionary. Filter out the noise, we should find out the sparse representation of the image through the design of the dictionary. Its mechanism is that one hand the useful information of the image would be effectively expressed because of the sparse decomposition algorithm based on the redundant dictionary. The other the noise would not be expressed through the dictionary atoms. We do the image denoising according to the image sparse representation. Because of the superiority of the adaptive dictionary algorithm in the image, in this paper, we discuss the over-complete dictionary training algorithm. And we prove the effectiveness through the MATLAB.

Deep Neural Inverse Halftoning

2017 ◽  
Author(s):  
Yi Xiao ◽  
Chao Pan ◽  
Xianyi Zhu ◽  
Hai Jiang ◽  
Yan Zheng
Keyword(s):  
Inverse Halftoning

Wavelet integrated residual dictionary training for single image super-resolution

2019 ◽  
Vol 78 (19) ◽  
pp. 27683-27701 ◽  
Author(s):  
Farah Deeba ◽  
She Kun ◽  
Wenyong Wang ◽  
Junaid Ahmed ◽  
Bahzad Qadir
Keyword(s):  
Super Resolution ◽  
Single Image ◽  
Image Super Resolution ◽  
Single Image Super Resolution ◽  
Dictionary Training
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