Abstract: An architecture for the on-chip implementation of a compressive image encoder is presented. It is 100% compatible with standard CMOS image sensor architectures. It does not interfere with ...

Needs some research and investigation, but it appears that the base64 encoding is very very slow for images larger than a dozen KB or so.

OpenAI’s GPT-4o is a powerful language model that combines the ability to understand and process audio, images, and text all in one system. In this post, we are going to see how you can use OpenAI GPT ...

Diffusion Transformers have demonstrated outstanding performance in image generation tasks, surpassing traditional models, including GANs and autoregressive architectures. They operate by gradually ...

As AI systems grow increasingly multimodal, the role of visual perception models becomes more complex. Vision encoders are expected not only to recognize objects and scenes, but also to support tasks ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...

Abstract: This paper introduces a limited search based fractal image coding scheme which balances the reconstructed image fidelity and encoding time of the fractal encoder. The proposed technique ...

Threat actors have been observed concealing malicious code in images to deliver malware such as VIP Keylogger and 0bj3ctivity Stealer as part of separate campaigns. "In both campaigns, attackers hid ...