4 ms·
My understanding of lossy compression like JPEG may be limited, but wouldn't this ML network be guessing the eigenvectors to put back into a matrix that were re
by skunkworker 7y ago
My understanding of lossy compression like JPEG may be limited, but wouldn't this ML network be guessing the eigenvectors to put back into a matrix that were removed because they weren't dominant enough?
- gugagore 7y agoUnless 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.
- 0-_-0 7y agoRemoved or just quantized, yes.