1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. 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. 8. Compare the results from 6, 7.

1st(1).cpp

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．