3 ms·
Unless I'm missing a connection you've made, no. You might have been exposed to the singular-value decomposition to compress a matrix, and representing an imag
by gugagore 7y ago
Unless I'm missing a connection you've made, no.
You might have been exposed to the singular-value decomposition to compress a matrix, and representing an image as a matrix e.g. [1].
JPEG encoding is about transforming the signal into a frequency domain (think FFTs) where it is less detrimental to throw away information.
If there is a connection to what you're saying, I expect you should try to make some statement about the eigenvalues of the DCT matrix [2]
[1] http://www.math.utah.edu/~goller/F15_M2270/BradyMathews_SVDImage.pdf http://www.math.utah.edu/~goller/F15_M2270/BradyMathews_SVDI...
[2] https://math.stackexchange.com/questions/962533/why-does-the-discrete-cosine-transform-as-matrix-multiplication-work-this-way https://math.stackexchange.com/questions/962533/why-does-the...
- skunkworker 7y agoYou're right, it was just an early linear algebra thing in college using SVD to do basic image compression.
- cvwright 7y agoI interpreted the GP as saying that the AI could try to infer what the DCT coefficients had been prior to quantization. I don't know enough about JPEG or about AI to know whether that would be doable.