Kinda sorta not really. Compressed sensing and sparse coding show that, under certain sparsity assumptions, you can perfectly reconstruct your original data with fewer bits than previously thought. It is a coding principle.
Perceptual hashes (or hashes in general) are used for fast indexing and retrieval. You cannot recreate the original data from a hash, pretty much by definition.
So hashes and coding algorithms both provide smaller representations of data. But hashes are used for indexing and do not provide the original data, or even an approximation thereof, while compressed sensing can.
Perceptual hashes (or hashes in general) are used for fast indexing and retrieval. You cannot recreate the original data from a hash, pretty much by definition.
So hashes and coding algorithms both provide smaller representations of data. But hashes are used for indexing and do not provide the original data, or even an approximation thereof, while compressed sensing can.