Abstract: Visual images corrupted by various types and levels of degradations are commonly encountered in practical image compression. However, most existing image compression methods are tailored for ...

Instead of using text tokens, the Chinese AI company is packing information into images. An AI model released by the Chinese AI company DeepSeek uses new techniques that could significantly improve AI ...

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...

The previous Hyper-Compression is vector-wise, which is incompatible with the matrix product in GPU acceleration that is “block-wise" operated. Therefore, Hyper-Compression needs to decompress the ...

Microsoft has quietly rolled out support for the JPEG XL image format in the latest Windows 11 24H2 update. This new feature, available through an extension in the Microsoft Store, promises to enhance ...

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 ...

Abstract: Learned image compression has shown remarkable compression efficiency gain over the traditional image compression solutions, which is partially attributed to the learned entropy models and ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...