Image Reconstruction:Phase vs. Magnitude
18 ビュー (過去 30 日間)
古いコメントを表示
Figure 1.(c) shows the Test image reconstructed from MAGNITUDE spectrum only. We can say that the intensity values of LOW frequency pixels are comparatively more than HIGH frequency pixels. f(x,y) is image function and F(u,v) is its 2D Fourier transform
f(x,y)= ∑_(u=0)^(U-1)∑(v=0)^(V-1)\ F(u,v) exp^(1j*2Π*xu)/M) e^(1j*2Π*(vy)/N) --(1)
Figure 1.(d) shows the Test image reconstructed from PHASE spectrum only. We can say that intensity values of HIGH frequency (edges,lines) pixels are comparatively more than LOW frequency pixels.
f(x,y)= ∑_(u=0)^(U-1)∑(v=0)^(V-1)\ exp(j*angle(u,v)) exp^(1j*2Π*xu)/M) * e^(1j*2Π(vy)/N)--(2)
i want to ask that in phase only reconstruction part why do i get only edges or lines,why not low frequency components?? because from the 2nd equation i am not getting any idea that only edge like features are emphasized......
2 件のコメント
回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で Fourier Analysis and Filtering についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!