給出了一種新的基于小波多尺度分解的分層圖像融合方法. 其基本思想是先對(duì)源圖像
進(jìn)行小波多尺度分解; 其次, 按照融合規(guī)則, 采用基于區(qū)域特性量測(cè)的選擇及加權(quán)算子去構(gòu)造融合圖像對(duì)應(yīng)的小波系數(shù); 最后, 通過(guò)逆小波變換重構(gòu)融合圖像. 該方法被成功地用于圖像的融合處理. 此外, 利用熵、交叉熵、互信息、均方根誤差、峰值信噪比等參量, 對(duì)該融合方法的融合性能進(jìn)行了評(píng)價(jià)與分析. 實(shí)驗(yàn)結(jié)果表明, 該融合方法是十分有效的.
關(guān)鍵詞　圖像融合, 多傳感器融合, 小波分解, 圖像處理
Abstract　A novel h ierarch ical image fusion scheme based on wavelet mult iscale de2
compo sit ion is p resented. The basic idea is to perfo rm a wavelet mult iscale decompo si2
t ion of each source image first, then the wavelet coefficient s of the fused image are
const ructed using region2based select ion and weigh ted operato rs acco rding to different
fusion rules, finally the fused image is obtained by tak ing inverse wavelet t ransfo rm.
Th is app roach has been successfully used in image fusion. In addit ion, w ith the use of
the parameters such as ent ropy, cro ss ent ropy, mutual info rmat ion, roo t mean square
erro r, peak2to2peak signal2to2no ise rat io, the perfo rmance of the fusion scheme is e2
valuated and analyzed. The experimental result s show that the fusion scheme is effec2
t ive.
Key words　Image fusion, mult isenso r fusion, wavelet decompo sit ion, image p rocess2
ing