To uncompress data back into its original binary state intentionally, what type of compression technique is used?

Lossless compression is the technique used to uncompress data back into its original binary state without any loss of information. This approach is essential when it is crucial to maintain the integrity of the data, such as with text files, executable programs, or in scenarios like medical imaging where every bit of data is significant. In lossless compression, the algorithm reduces the file size by eliminating redundancy while ensuring that the original data can be perfectly reconstructed from the compressed version.

Using this method, you can compress data and later retrieve it precisely as it was, which is not the case with lossy compression. Lossy techniques, on the other hand, discard some data to achieve higher compression rates, which can lead to a loss of quality and irretrievable information. Fast Fourier Transform compression and tailored compression may involve specific algorithms or designs for certain types of data but do not universally apply to all cases where reconstruction of original binary data is necessary. Therefore, lossless compression is the most appropriate choice for ensuring that the original data can be accurately restored.