Tootfinder

Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG
Mahmoud Afifi, Ran Zhang, Michael S. Brown
https://arxiv.org/abs/2509.19624 https://arxiv.org/p…

Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG
Digital cameras digitize scene light into linear raw representations, which the image signal processor (ISP) converts into display-ready outputs. While raw data preserves full sensor information--valuable for editing and vision tasks--formats such as Digital Negative (DNG) require large storage, making them impractical in constrained scenarios. In contrast, JPEG is a widely supported format, offering high compression efficiency and broad compatibility, but it is not well-suited for raw storage.…

A Case for Computing on Unstructured Data
Mushtari Sadia, Amrita Roy Chowdhury, Ang Chen
https://arxiv.org/abs/2509.14601 https://arxiv.org/pdf/2509.14601

A Case for Computing on Unstructured Data
Unstructured data, such as text, images, audio, and video, comprises the vast majority of the world's information, yet it remains poorly supported by traditional data systems that rely on structured formats for computation. We argue for a new paradigm, which we call computing on unstructured data, built around three stages: extraction of latent structure, transformation of this structure through data processing techniques, and projection back into unstructured formats. This bi-directional pipel…