The document discusses compressing a 512x512 image using the discrete cosine transform (DCT) technique. It involves breaking the image into 8x8 pixel chunks, applying DCT to each chunk, dropping frequencies with small contributions based on a 10% tolerance threshold, and converting back with pixel values clipped between 0-255. The task is to write a Python function called compress_chunk() that takes an 8x8 chunk as input, compresses it using the described DCT technique, and returns the compressed chunk with pixel values between 0-255. This function would then be used to construct and return the compressed image.

1. Plz help me make a code for this using python
it must pass the above tests. Thank you
The discrete cosine transform is a powerful technique for expressing data as a sum of cosine
waves, and has many applications in audio and image compression. We will use the "chunking"
technique discussed in the lab activity here to compress a whole image. Given a 512512 image,
stored in the variable image, you will break the image into smaller 88 chunks. Then for each
chunk, you will convert to the DCT basis, drop the frequencies with relatively small
contribution, then convert back to the standard basis and clip the resulting pixel values so that
they lie between 0 and 255 . This image is given in gray scale, where each pixel varies from 0 to
255. To gauge which frequencies have a small contribution, use a tolerance of 10% of the largest
absolute value in each particular chunk after converting it into the DCT basis.
The setup code provides the helper function create_dct_basis (n), which creates an nn matrix
whose columns make up the n-dimensional DCT basis. To construct your solution, write a code
snippet that: - defines the function compress_chunk(chunk) that takes as argument a "chunk" of
the image, with dimension 88, and returns the compressed "chunk". - make sure your
compressed chunk returned from compress_chunk () contains only values between 0 an 255 , as
in the original image. You may find the function numpy . clip () useful. - use your function to
construct the variable compressed, which contains the compressed image. The setup code gives
the following variable: Your code snippet should define the following variable:
Score: 0/3 (0%) Cest Results [0/2] compress_chunk() Max points: 2 Earned points: 0 Message
Your code was supposed to supply a function or callable, but the variable you supplied was not
[0/1] compressed image Max points: 1 Earned points: 0 Message