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.
Image Enhancement Tools
'Let's Enhance' Uses Machine Learning to Touch Up Low-Res Pictures
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.