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

DeepSeek’s announced OCR (Optical Character Recognition) model compresses text-heavy data into images and reduces vision tokens per image by up to 20x while retaining 97% accuracy (10x compression) or ...

College of Rail Transit Locomotive and Rolling Stock, Hunan Railway Professional Technology College, Zhuzhou, China. Many people have made efforts to design and improve high-performance FIR filters, ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

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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