It helps in reducing file sizes, which makes it easier to store and share images without losing much quality. Whether you are ...

Abstract: 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 ...

The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition accuracy of underwater targets and failing ...

Concerns about the risks posed by tampered images have been showing up regularly in the research over the past couple of years, particularly in light of a new surge of AI-based image-editing ...

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 ...

LZO 2.10 source + prebuilt binaries -- a real-time data compression library. Latest release (2.1.0) from www.lzop.org Fast In-Memory Data Compression Algorithm (inline C/C++) 460+MB/s compress, ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Add a description, image, and links to the image-compression-algorithm topic page so that developers can more easily learn about it.