CAJ | 학술논문

针对图像增强的特点，提出量子免疫蛙跳算法.该算法按适应度大小排序的青蛙个体进行量子编码，同时蛙跳移动离散化；通过动态调整量子蛙跳旋转门实现量子染色体中所有的量子比特都朝着与最优解对应的量子比特基态动态优化偏转；采用 Hadamard门对量子位变异，基于阴性选择算法对蛙跳免疫进行像素匹配，并给出了图像增强过程.实验仿直表明，本文算法对图像增强效果的轮廓和细节更加清晰，层次感强，结构相似性 SSIM其值较好，为0．9849.
침대도상증강적특점，제출양자면역와도산법.해산법안괄응도대소배서적청와개체진행양자편마，동시와도이동리산화；통과동태조정양자와도선전문실현양자염색체중소유적양자비특도조착여최우해대응적양자비특기태동태우화편전；채용 Hadamard문대양자위변이，기우음성선택산법대와도면역진행상소필배，병급출료도상증강과정.실험방직표명，본문산법대도상증강효과적륜곽화세절경가청석，층차감강，결구상사성 SSIM기치교호，위0．9849.
According to the characteristic of image enhancement,quantum immune frog leap algorithm is proposed.Frog individuals were quantum-encoded by this algorithm according to the order of fitness degree,meanwhile,the leap frog movements were discretized.Through the dynamic adj ustment of the revolving gate of quantum leapfrog,all quantum bits of the quantum chromosome were deflected towards the dynamic optimization of the ground state of quantum bits which were corresponded to the optimal solution.Qubits were mutated by adopting Hadamard gate,the leap frog immunization was pixel-matched based on the feminine selection algorithm, and image enhancement process was provided.The experimental result show that effect of outline and details of QILF is more clearly,the better SSIM is 0.984 9.