CAJ | 학술논문

由于中子成像系统中的诸多物理因素影响，使其得到的中子图像通常会发生严重的图像降质。本文将调制核回归（SK）引入到TV‐RL算法中，提出了一种中子图像去模糊去噪方法SK‐TV‐RL ，即基于SK的TV‐RL算法。该方法能解决以往算法噪声放大的问题，并能复原降质图像中的细节信息。对比实验结果表明，无论基于客观评价还是主观评价，该方法都能有效地提高图像复原质量。
유우중자성상계통중적제다물리인소영향，사기득도적중자도상통상회발생엄중적도상강질。본문장조제핵회귀（SK）인입도TV‐RL산법중，제출료일충중자도상거모호거조방법SK‐TV‐RL ，즉기우SK적TV‐RL산법。해방법능해결이왕산법조성방대적문제，병능복원강질도상중적세절신식。대비실험결과표명，무론기우객관평개환시주관평개，해방법도능유효지제고도상복원질량。
The neutron image obtained from neutron imaging system usually gets serious degradation because of the influence of physical constraints and other factors of the sys‐tem .To solve this problem ,by combining the steering‐kernel regression (SK) with TV‐RL algorithm ,a neutron image restoration method SK‐TV‐RL was proposed .The method is capable of suppressing noise w hile restoring details of the blurred imaging re‐sults efficiently .Experimental results show that comparing with the other methods ,the method can improve the restoration quality both visually and quantitatively .