CAJ | 학술논문

传统的插值算法通常会使目标图像边缘模糊，而基于2×2或4×4邻域的局部自适应算法虽然能保持图像边缘特征，但算法一般过于复杂，不便于硬件实现。提出的改进算法不仅对 LAZA 算法流程进行优化，而且使用中值滤波代替分类加权平均算法，既提高算法效率，也能保持图像的边缘特征。实验结果表明该算法在放大采用双三次内插获取的1/2图像有更好的效果，并利用边缘图像相关系数进一步验证该算法在保持图像的边缘特征方面优于传统插值算法。
전통적삽치산법통상회사목표도상변연모호，이기우2×2혹4×4린역적국부자괄응산법수연능보지도상변연특정，단산법일반과우복잡，불편우경건실현。제출적개진산법불부대 LAZA 산법류정진행우화，이차사용중치려파대체분류가권평균산법，기제고산법효솔，야능보지도상적변연특정。실험결과표명해산법재방대채용쌍삼차내삽획취적1/2도상유경호적효과，병이용변연도상상관계수진일보험증해산법재보지도상적변연특정방면우우전통삽치산법。
Traditional interpolation algorithms usually will blur the targeted image edges,and though the locally adaptive algorithm based on 2 ×2 or 4 ×4 neighbourhood can maintain the image edge feature,but the algorithm is generally too complex,it is not easy for hardware implementation.The improved algorithm proposed in this paper not only optimise the flowchart of LAZA algorithm,it also uses the median fil-tering algorithm to replace the classified weighted average algorithm,which improve the efficiency of the algorithm,and also preserves the edge features of image.Experimental results show that this algorithm has better effect in amplifying the 1 /2 image obtained using bicubic in-ternal interpolation.Moreover,we further verify by using the correlation coefficient of edge image that the proposed algorithm outperforms the traditional interpolation algorithm in preserving the image edges.