光电技术应用
光電技術應用
광전기술응용
ELECTRO-OPTIC WARFARE & RADAR PASSIVE COUNTERMEASURES
2014年
4期
39-44
,共6页
多聚焦%提升小波%高斯核%快速算法
多聚焦%提升小波%高斯覈%快速算法
다취초%제승소파%고사핵%쾌속산법
multi-focus%lifting wavelet%Gaussian kernel%fast algorithm
提出了一种基于提升小波变换的快速多聚焦图像融合方法。首先利用提升小波算法将原始图像分解为四个子带:LL,LH,HL,HH,后将代表三个方向高频细节子带LH,HL,HH采用提升小波反变换,以获得各方向子带的高频细节图像,采用高斯核权重算法计算所得到的高频细节图像的非均匀加权区域能量,再根据基于能量的图像融合规则得到最终融合图像。对比了几种多聚焦图像融合方案的性能,实验结果表明,在融合效果相当的情况下,文中方法比现有方法在处理速度上有明显的优势。
提齣瞭一種基于提升小波變換的快速多聚焦圖像融閤方法。首先利用提升小波算法將原始圖像分解為四箇子帶:LL,LH,HL,HH,後將代錶三箇方嚮高頻細節子帶LH,HL,HH採用提升小波反變換,以穫得各方嚮子帶的高頻細節圖像,採用高斯覈權重算法計算所得到的高頻細節圖像的非均勻加權區域能量,再根據基于能量的圖像融閤規則得到最終融閤圖像。對比瞭幾種多聚焦圖像融閤方案的性能,實驗結果錶明,在融閤效果相噹的情況下,文中方法比現有方法在處理速度上有明顯的優勢。
제출료일충기우제승소파변환적쾌속다취초도상융합방법。수선이용제승소파산법장원시도상분해위사개자대:LL,LH,HL,HH,후장대표삼개방향고빈세절자대LH,HL,HH채용제승소파반변환,이획득각방향자대적고빈세절도상,채용고사핵권중산법계산소득도적고빈세절도상적비균균가권구역능량,재근거기우능량적도상융합규칙득도최종융합도상。대비료궤충다취초도상융합방안적성능,실험결과표명,재융합효과상당적정황하,문중방법비현유방법재처리속도상유명현적우세。
A fast multi-focus image fusion algorithm based on lifting wavelet transform is introduced. Firstly, the original images are decomposed into four sub-bands such as LL, LH, HL and HH through the algorithm. And then, high frequency details sub-bands such as LH, HL and HH representing three directions are performed lifting wavelet inverse transform to obtain high frequency details images of sub-bands on all directions. Non-uniform weighted area energy of obtained high frequency detail images is calculated through Gaussian kernel weight algo-rithm. And the final fusion images are obtained according to image fusion rule based on energy. Comparing with the characteristics of multi-focus image fusion schemes, experimental results show that the method is more effective than present methods on processing speed at the condition of same fusion effect.