@@ -7,9 +7,9 @@ The process is thought of like a cathode ray TV, processing each row one pixel a
the 3 pixels above any nonboundary pixel and the one to the left have already been read. The goal is to then
interpolate the next point and record if there is any difference between the predicted and the actual.
Encoding_decoding contains the main body of code, while compression_benchmark.ipynb contains some test code
for already produced methods of compression.
WorkingPyDemo.py contains the working code for both the encoder and decoder, with the decoder likely commented out at the bottom.
As it is not production code there are some other items for testing that are still included in the project.
Full tester contains some of the code that was used for benchmarking, though much of it is scattered to double check numbers/be thorough.
Error image creator was used to create images of what the compressor sees and to reconstruct compressed images as another check that they were functional.
The current status is that the inhouse compression works better as per its own method of checking the ratio.
TODO: Update how it calculates compression by actual filesize instead of in python calculations
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Encoding_decoding.ipynb and PredictionMethod.pdf were created beforehand and give light to the history of the project.
