CAJ | 학술논문

针对传统震动滤波和各向异性扩散混合模型存在缺点,提出了一种新的图像增强和去噪方法.该方法将改进的震动滤波项和图像细节保真项同时引入增强和去噪方程,使其根据图像结构信息产生相应变化幅度.通过实验表明,本文提出的方法达到较理想的增强和去噪效果,使得生物医学图像不仅具有很好的平滑效果,而且增强了边缘,同时保留了尽可能多的图像结构和细节信息,并且还很大程度上缩短了计算时间.
침대전통진동려파화각향이성확산혼합모형존재결점,제출료일충신적도상증강화거조방법.해방법장개진적진동려파항화도상세절보진항동시인입증강화거조방정,사기근거도상결구신식산생상응변화폭도.통과실험표명,본문제출적방법체도교이상적증강화거조효과,사득생물의학도상불부구유흔호적평활효과,이차증강료변연,동시보류료진가능다적도상결구화세절신식,병차환흔대정도상축단료계산시간.
A new method based image enhancement and denoising method is presented in this work. Aimed at the dis-advantages existing in traditional method coupled with shock filters and anisotropic diffusion, a new improved shock ill-ters term and a new fidelity term, which are generated adaptive magnitude from image structural information, are pro-posed for the biomedicine image enhancement and denoising. Experimental results showed that the effectiveness for bio-medicine image enhancement and denoising with our method is better. The method can not only well restrain noise but also enhance edge and keep much more structural information and detail information of an image, and the computed time of this algorithm is greatly shortened.