CAJ | 학술논문

为了提高重构图像或者视频的分辨率，提出把新型的基于光流法的图像配准算法应用于迭代反投影（IBP）超分辨率算法中。在所提出的方法中，基于光流法的图像配准算法用来提高图像配准的准确性。首先，为了得到像素级别的运动矢量，基于光流法的图像配准算法被用于估计图像间的运动矢量，以得到更加准确的运动矢量矩阵。接着，利用所获得的运动矢量矩阵结合迭代反投影算法重构高分辨率的图像。同时，由于基于光流法的图像配准能够很好地估计视频图像间的运动，所提出的方法同样适用于视频图像的超分辨。实验结果表明，提出的方法对于图像或者视频的超分辨率效果，在主观效果和客观评价上都有一定的提升。
위료제고중구도상혹자시빈적분변솔，제출파신형적기우광류법적도상배준산법응용우질대반투영（IBP）초분변솔산법중。재소제출적방법중，기우광류법적도상배준산법용래제고도상배준적준학성。수선，위료득도상소급별적운동시량，기우광류법적도상배준산법피용우고계도상간적운동시량，이득도경가준학적운동시량구진。접착，이용소획득적운동시량구진결합질대반투영산법중구고분변솔적도상。동시，유우기우광류법적도상배준능구흔호지고계시빈도상간적운동，소제출적방법동양괄용우시빈도상적초분변。실험결과표명，제출적방법대우도상혹자시빈적초분변솔효과，재주관효과화객관평개상도유일정적제승。
To improve the spatial resolution of reconstructed images and videos, proposes a super-resolution (SR) reconstruction method using itera-tive back projection with a new optical flow based image matching. In the proposed method, optical flow based image matching is em-ployed to improve the accuracy of image registration. First, optical flow based image matching is performed between images to obtain pix-el-level motion fields. Then, high-resolution (HR) images are reconstructed based on the motion fields using iterative back projection (IBP) algorithm. Since the optical flow based image matching can adapt to various types of motions in real video scenes, the proposed method can be used in video super resolution. Experimental results demonstrate that, subjective and objective quality improvements are obtained by the proposed algorithm, when applied to image or video sequence.