Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...

Now, buying a pre-owned phone is not a straightforward journey. It's nothing short of making a leap of faith. But if you can find a reliable channel selling used phones, certified refurbished units, ...

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

After missing out on last month’s Feature Drop, Google is rolling out a sizable Pixel Watch 4 update this December that adds one-handed gestures. Joining Raise to Talk (which is getting a new ...

Note: This project is in a very early, experimental stage. Welcome to my repository. This project is my exploration of a new image processing technique based on my 2018 preprint, "Transformation of ...

Google on Tuesday released the November Pixel Drop update, which brings several new features to Pixel phones that can support it, including AI novelties like support for Nano Banana AI image editing ...

According to Andrej Karpathy (@karpathy), the new DeepSeek-OCR paper presents a notable advancement in OCR models, though slightly behind state-of-the-art models like Dots. The most significant ...

Sanuj is a tech enthusiast with a passion for exploring smartphones, tablets, and smart wearables. He started his tech journey with a Lumia smartphone, diving into Windows Phone. Later, he switched to ...

Abstract: Convolutional Neural Networks (CNNs) have significantly advanced Image Super-Resolution (SR), yet most CNN-based methods rely solely on pixel-based transformations, often leading to ...

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...