CAJ | 학술논문

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.
도상빈역해혼첩초분변산법요구수입저분변솔도상정수급기정간아상원위이만족일정적조건,인차한제료기응용범위.이용단정초분변기술화재채양함수종매정수입저분변솔도상산생16정상동분변솔적도상,재종중도선만족한제조건적도상정,종이소제료원산법요구적량개주요한제조건,건립료개진적이지다정수입도상빈역해혼첩초분변산법.삼조방진실험결과표명,해산법소제료수입정수화정간아상원위이적한제조건,병차가이사봉치신조비제고5dB좌우.
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 5 dB.