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Python code able to convert / compress image to PI (3.14, π) Indexes
Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction.
ZIP also include 16 MB file with 16,7 mil numbers of PI
Benchmark(Single-Thread):
Hardware & Environment
Apple Silicon: Apple M2 (Mac mini/MacBook)
x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores)
OS 1: Fedora 43 (GNOME)
OS 2: Windows 11 Pro (23H2/24H2)
Software: Python 3.14.3 + Numba JIT (latest)
Results (Lower is better)
Platform / OS CPU Time (Seconds)
macOS (Native) Apple M2 52.151311 s (in default setup)
Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced)
Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
Demonstrate errors in transmission of a file over a noisy channel.
...It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file.