Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 3 (2020)  /  Artículo
ARTÍCULO
TITULO

Super-Resolution Reconstruction Algorithm for Infrared Image with Double Regular Items Based on Sub-Pixel Convolution

Lei Yu    
Xuewei Zhang and Yan Chu    

Resumen

In this paper, an adaptive dual-regularization super-resolution reconstruction algorithm based on sub-pixel convolution (MPSR) is proposed. There are two novel features of the algorithm: First, the traditional regularization algorithm and sub-pixel convolution algorithm are combined to enrich the details; then, a regularization function with two adaptive parameters and two regularization terms is proposed to enhance the edge. MPSR firstly enhances the multi-scale detail of low-resolution images; then, regular processing and feature extraction are carried out; finally, sub-pixel convolution is used to fuse the extracted features to generate high-resolution images. The experimental results show that the subjective and objective evaluation indexes (PSNR/SSIM) of the algorithm have achieved satisfactory results.

 Artículos similares

       
 
Yaru Zhang, Jiantao Liu, Tong Zhang and Zhibiao Zhao    
In the process of stereo super-resolution reconstruction, in addition to the richness of the extracted feature information directly affecting the texture details of the reconstructed image, the texture details of the corresponding pixels between stereo i... ver más
Revista: Applied Sciences

 
Kai Liu, Xiao Yu, Yongsen Xu, Yulei Xu, Yuan Yao, Nan Di, Yefei Wang, Hao Wang and Honghai Shen    
Diffractive optical elements (DOEs) are difficult to apply in natural scenes imaging covering the visible bandwidth-spectral due to their strong chromatic aberration and the decrease in diffraction efficiency. Advances in computational imaging make it po... ver más
Revista: Applied Sciences

 
Shanshan Liu, Qingbin Huang and Minghui Wang    
Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using the information of inter-frame and intra-frame images. Inaccurate blur kernel estimation will enlarge the distortion of the e... ver más
Revista: Applied Sciences

 
Yuanzhou Zheng, Peng Liu, Long Qian, Shiquan Qin, Xinyu Liu, Yong Ma and Ganjun Cheng    
To improve the navigation safety of inland river ships and enrich the methods of environmental perception, this paper studies the recognition and depth estimation of inland river ships based on binocular stereo vision (BSV). In the stage of ship recognit... ver más

 
Haoran Xu, Xinya Li, Kaiyi Zhang, Yanbai He, Haoran Fan, Sijiang Liu, Chuanyan Hao and Bo Jiang    
Recently, deep learning has enabled a huge leap forward in image inpainting. However, due to the memory and computational limitation, most existing methods are able to handle only low-resolution inputs, typically less than 1 K. With the improvement of In... ver más
Revista: Algorithms