Journal of Computer Applications ›› 2009, Vol. 29 ›› Issue (11): 3005-3007.
• Graphics and image processing • Previous Articles Next Articles
Jin-zong LI,Xue-feng YANG,Dong-dong LI
Received:
Revised:
Online:
Published:
Contact:
李金宗1,杨学峰1,李冬冬2,3
通讯作者:
Abstract: The de-aliasing Super-Resolution (SR) algorithm in image frequency domain demands some limits on frame numbers and sub-pixel shifts between frames of input Lower Resolution (LR) images, which limits the application range of this algorithm. Using single frame super-resolution method and resample function, the authors produced 16 frames images which have the same resolution as input images from each input LR image and then selected images that meet the requirements from these produced images. Therefore, a novel de-aliasing SR algorithm in image frequency domain from two to many frames of input LR images was proposed. Three simulation experimental results indicate that the proposed algorithm removes the limits on frame numbers and sub-pixel shifts between frames and makes the PSNR of SR images to be increased by about 5dB.
Key words: lower resolution image, de-aliasing in frequency domain, sub-pixel shift, under sampling, resample function
摘要: 图像频域解混叠超分辨算法要求输入低分辨率图像帧数及其帧间亚像元位移满足一定的条件,因此限制了其应用范围。利用单帧超分辨技术和再采样函数从每帧输入低分辨率图像产生16帧相同分辨率的图像,再从中挑选满足限制条件的图像帧,从而消除了原算法要求的两个主要限制条件,建立了改进的二至多帧输入图像频域解混叠超分辨算法。三组仿真实验结果表明,该算法消除了输入帧数和帧间亚像元位移的限制条件,并且可以使峰值信噪比提高5dB左右。
关键词: 低分辨率图像, 频域解混叠, 亚像元位移, 欠采样, 再采样函数
Jin-zong LI Xue-feng YANG Dong-dong LI. New super-resolution reconstructing algorithm in image frequency domain[J]. Journal of Computer Applications, 2009, 29(11): 3005-3007.
李金宗 杨学峰 李冬冬. 新颖的频域图像超分辨重建方法[J]. 计算机应用, 2009, 29(11): 3005-3007.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.joca.cn/EN/
http://www.joca.cn/EN/Y2009/V29/I11/3005