MATLAB Image Processing - please do all parts

nasa.tif Image Needed: https://imgur.com/a/v8Dx8

Zero-one masks in DFT domain: In clas, we sanvowro-one DFT masks could be used to extract low, mid and high frequencies. The goal of this problem is noise removal when the general location of the noise is known in frequency domain. The given image nasatifis corrupted by sinusoidal interference. Vou will create a clean image using a zero-one DFT mask. (Useful functions: gixput, meshgrid.) Nasa tif (a) Read in the nazatif. This image is transmitted by Apollo 17 mission and it is contaminated with periodic noise due to ransmission noise. Display the input image and log of the magnitude of its DFT. Vou may need to use FSCS to display images. Please move the low frequency part to the center. (b) Are there any odd components or spikes to this DFT? What do you think these represent? Find the coordinates of these spilces and report them (Helpful fnction: ginput) (c) Now implement a Gaussian bandpass filter that helps in removing the noise. Using the coordinates in part (b), find the distance of the coordinates to the center and use this distance to implement a Gaussian bandpass filter that sets the magnitude at these coordinate frequencies to 0 (Use a sigma-10 for the Gaussian) [Hint: Use a meshgrid to create a matrixx, then use this and the coordinate and spacing of the Gaussian that depends on sizma as inputs to generate a bandpass filter]. Display the resultant bandpass filter. (d) Use this filter to remove the noise from the original image. Display the final image after taking the inverse and the DFT of the final image. Why are some noise components still present? Zero-one masks in DFT domain: In clas, we sanvowro-one DFT masks could be used to extract low, mid and high frequencies. The goal of this problem is noise removal when the general location of the noise is known in frequency domain. The given image nasatifis corrupted by sinusoidal interference. Vou will create a clean image using a zero-one DFT mask. (Useful functions: gixput, meshgrid.) Nasa tif (a) Read in the nazatif. This image is transmitted by Apollo 17 mission and it is contaminated with periodic noise due to ransmission noise. Display the input image and log of the magnitude of its DFT. Vou may need to use FSCS to display images. Please move the low frequency part to the center. (b) Are there any odd components or spikes to this DFT? What do you think these represent? Find the coordinates of these spilces and report them (Helpful fnction: ginput) (c) Now implement a Gaussian bandpass filter that helps in removing the noise. Using the coordinates in part (b), find the distance of the coordinates to the center and use this distance to implement a Gaussian bandpass filter that sets the magnitude at these coordinate frequencies to 0 (Use a sigma-10 for the Gaussian) [Hint: Use a meshgrid to create a matrixx, then use this and the coordinate and spacing of the Gaussian that depends on sizma as inputs to generate a bandpass filter]. Display the resultant bandpass filter. (d) Use this filter to remove the noise from the original image. Display the final image after taking the inverse and the DFT of the final image. Why are some noise components still present