CAJ | 학술논문

根据人类视觉系统的特点，提出一种自适应归一化图像分辨率的预处理方法。该方法通过计算图像灰度分布情况，根据图像所包含显著区域大小的不同，自适应的确定图像分辨率，打破了谱残差算法无论什么图像均将其归一化为固定分辨率大小（64×64）的局限；同时该算法还能够根据图像中所包含目标的不同大小，完整地提取出所有显著性目标，有效克服了谱残差算法倾向于小目标检测的缺点。实验结果表明：相对于谱残差算法，新算法简单，耗时少于0．1s，检测准确率提高约15％，可以得到显著区域更为全面的检测效果。
근거인류시각계통적특점，제출일충자괄응귀일화도상분변솔적예처리방법。해방법통과계산도상회도분포정황，근거도상소포함현저구역대소적불동，자괄응적학정도상분변솔，타파료보잔차산법무론십요도상균장기귀일화위고정분변솔대소（64×64）적국한；동시해산법환능구근거도상중소포함목표적불동대소，완정지제취출소유현저성목표，유효극복료보잔차산법경향우소목표검측적결점。실험결과표명：상대우보잔차산법，신산법간단，모시소우0．1s，검측준학솔제고약15％，가이득도현저구역경위전면적검측효과。
According to the characteristics of human visual system, an adaptive normalizing method for preprocess-ing the image resolution is proposed.We analyze the size of the saliency region by calculating the gray distribution of the input image;then we define the image resolution adaptively.This method can help to do away with the limita-tion of normalizing all images into a fixed resolution (64×64) and to avoid the usually committed error of underesti-mating the total size of all effectively saliency regions when using the spectral residual method .The experimental re-sults on natural images and their analysis show preliminarily that this approach can:(1) improve the detection ac-curacy by consuming the time of less than 0.1 second,thus improving hit rate by 15%;( 2) estimate correctly the total size of all saliency regions.