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Image Enhancement Tools

Clean the Sky - Positive Eco Trends & Breakthroughs

'Let's Enhance' Uses Machine Learning to Touch Up Low-Res Pictures

— November 7, 2017 — Tech
In the age of image-based social media, clean and crisp pictures are a must, and 'Let's Enhance' helps users cater to that social audience even if they don't have a single megapixel to their name. The new browser-based tool uses a machine learning algorithm to enhance JPEGs by a factor of four, turning grainy and artifact-ridden snaps into crisp and finely detailed images that are worthy of a smattering of likes on Instagram.

Many recently released smartphones come with impressive cameras built in, but for those with older models, professional pictures are far from a guarantee. Even those with top-of-the-line smartphones might want to zoom in on a picture and end up disappointed with the results. Let's Enhance can touch up low-res images no matter how they were taken, and it even "hallucinates" details to make images look more natural and realistic.
Trend Themes
1. Machine Learning - Using machine learning algorithms to enhance image quality and details.
2. Image-based Social Media - The need for clean and crisp pictures for social media platforms drives the demand for image enhancement tools.
3. Improving Image Resolution - Enhancing low-resolution images to improve clarity and detail.
Industry Implications
1. Photography - The photography industry can leverage image enhancement tools to improve the quality of their photographs and attract more clients.
2. Social Media - Image-enhancement tools provide social media platforms with better visual content, increasing user engagement and satisfaction.
3. Mobile Technology - The mobile technology industry can integrate image enhancement tools into smartphones to enhance the quality of images for users with older models or limited camera capabilities.
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