Images are among the most common and popular representations of data. Digital images are used for professional and personal use ranging from official documents to social media. Thus, any Organization ...

The detection of nanoplastics (NPs) in complex natural water systems is hindered by matrix interferences and limitations in current analytical techniques. This study presents Pre_seg, a Raman spectral ...

By encoding repeated data sequences with their run lengths, QRLE achieves efficient and accurate data recovery on quantum computers, while exponentially reducing both qubit costs and runtime ...

Data compression is a challenging and increasingly important problem. As the amount of data generated daily continues to increase, efficient transmission and storage have never been more critical. In ...

The concept has existed for centuries, but modern digital steganography makes it possible to hide data within digital files in ways that are virtually undetectable. In this article, we’ll explore ...

This Python repository provides an implementation for JPEG image compression with both low and high compression modes. The script employs various transformations and compression techniques to optimize ...

Like chroma subsampling, this doesn’t offer any compression on its own but allows the subsequent run-length encoding to be more effective, giving more (lossless) compression.