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这个是C制作的源代码。。。
对一幅图像进行DFT变换,分别对源图像在空间域和频域里进行二次抽样和差值,最后得出结果比较。- Get a grey level image which size is N*N. (For example, 256*256, however,
N = ), and partition to 8*8 sub images.
Apply DFT to these sub images, and get the fourier transformed image F.
3. Derive the proper subsampling function matrix S in spatial domain.
4. Multiplying proper 4*4 DFT matrix T to matrix S, derive the frequency version
of subsampling function matrix, S.
5. Similarly, derive the frequency version of interpolation matrix, I.
6. Apply these matrices to each sub image of F (which is DFT of original image),
and get the final image, taking inverse DFT.
7. Apply subsampling/interpolation function matrix S/I to original image in spatial
domain and get the final image.
对一幅图像进行DFT变换,分别对源图像在空间域和频域里进行二次抽样和差值,最后得出结果比较。- Get a grey level image which size is N*N. (For example, 256*256, however,
N = ), and partition to 8*8 sub images.
Apply DFT to these sub images, and get the fourier transformed image F.
3. Derive the proper subsampling function matrix S in spatial domain.
4. Multiplying proper 4*4 DFT matrix T to matrix S, derive the frequency version
of subsampling function matrix, S.
5. Similarly, derive the frequency version of interpolation matrix, I.
6. Apply these matrices to each sub image of F (which is DFT of original image),
and get the final image, taking inverse DFT.
7. Apply subsampling/interpolation function matrix S/I to original image in spatial
domain and get the final image.
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1st.cpp
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