Abstract: In the field of image compression, lossless compression algorithms achieve high image quality, while lossy compression algorithms achieve high compression ratios. However, traditional ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Hyperspectral image compression techniques have become increasingly critical in modern remote sensing, where sensors collect vast spectral cubes composed of hundreds of contiguous bands. These ...

A lightweight web-based tool for compressing images using Compressor.js. Users can upload an image, set the desired compression quality, and download the optimized version.

Clustering methods are widely used in pattern recognition, data compression, data mining, but the problem of using them in real-time systems has not been a focus of most algorithm designers. In this ...

With the increasing demand for storing images, traditional image compression methods face challenges in balancing the compressed size and image quality. However, the hybrid quantum-classical model can ...

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