Thanks for sharing your great work!
After decomposing the image (feature map) using the wavelet transform method you provided. We input the low-frequency and high-frequency components into an encoder network separately. After getting the encoded information, we found more detailed information in the high frequencies. Then, we have the following problem after re-inverting the encoded processed low and high-frequency components back to the time domain. A very distinct grid appears in the image (feature map). We have repeatedly experimented and found that coding operations on the low-frequency components do not cause this phenomenon. At the same time, this issue occurs only when coding operations are performed on high frequencies.
The processing of our work:
Could you please help us analyze the reason for this "grid effect"? Is it because the encoder changes the value of the high-frequency information so that the phase information in the high-frequency information changes? Does it end up causing the grid effect when inverted? If so, is there any good way to solve this problem?
Thanks for sharing your great work!
After decomposing the image (feature map) using the wavelet transform method you provided. We input the low-frequency and high-frequency components into an encoder network separately. After getting the encoded information, we found more detailed information in the high frequencies. Then, we have the following problem after re-inverting the encoded processed low and high-frequency components back to the time domain. A very distinct grid appears in the image (feature map). We have repeatedly experimented and found that coding operations on the low-frequency components do not cause this phenomenon. At the same time, this issue occurs only when coding operations are performed on high frequencies.
The processing of our work:
Could you please help us analyze the reason for this "grid effect"? Is it because the encoder changes the value of the high-frequency information so that the phase information in the high-frequency information changes? Does it end up causing the grid effect when inverted? If so, is there any good way to solve this problem?