The Huffman-LFSR Image Encryption and Compression project integrates Huffman coding for efficient image compression with Linear Feedback Shift Register (LFSR) for secure encryption. This tool ...

Why can some messages be compressed while others cannot? This video explores Huffman coding and Shannon’s concept of entropy, showing how probability and information theory determine the ultimate ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

Abstract: 2D image coding for machines (ICM) has achieved great success in coding efficiency, while less effort has been devoted to stereo image fields. To promote the efficiency of stereo image ...

Due to the increasing consumption of more immersive video content with higher resolutions, the need for more efficient video compression techniques is starting to grow. Recently, new video compression ...

The Pipe Metallurgical Company (TMK) has developed a technology for labeling pipe products using QR codes that can be read even in the presence of damage thanks to a neural network algorithm of its ...

A learning project to understand lossless data compression using Huffman coding, built from scratch in Go. Based on Coding Challenge #3 — compressing and decompressing text files using Huffman codes.

Abstract: Progressive coding adapts to reliable image and video transmission over unstable network with fluctuating bandwidth with truncatable bitstreams produced by layer-wise conditional entropy ...