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20 Places You’ll Be Seeing Computer Vision by 2030

Here are 20 eye-popping statistics of what we can expect to see in the next five years, with a focus on applications in AI, imaging, and video processing:

Understanding HDR: The Bright and Dark Sides of Imaging

HDR, or High Dynamic Range, has transformed how we capture images and videos, making it possible to capture an impressive range of tones. But what makes it so challenging, and how can this challenge be solved?

Is Real-Time Video the Next Big Challenge for Generative AI?

Generative AI has made remarkable strides, creating lifelike images, text, and even music. However, achieving real-time performance, especially when it comes to video processing, still poses a formidable challenge.

Why is the AI Accelerator So Darn Important for Computer Vision?

As we watch the AI revolution unfold before our eyes, and touch every industry from healthcare to transportation, it’s worth noting that there’s one key enabler behind it: the AI accelerator.

Israel 21C: Low Light Won't Limit Your Videos Anymore

AI startup Visionary.ai partners with Qualcomm to bring better pictures and videos in low light to an Android smartphone near you.

Decoding Edge AI: A Glossary of Buzzwords

We’ll get straight to it. Here are the top 21 terms worth getting your head around in the world of edge and visual AI, with examples.

7 Benefits to Removing Video Noise

Denoising can do more than just make videos more pleasing to the eye; there are a multitude of benefits to both human and machine vision.

How is Computational Photography Revolutionizing Smartphone Cameras?

What algorithms are behind the stunning images we’re taking with our phones? We’ve unpacked it all in this piece, where we break down some of the jargon and also look at future trends.

Is the Future of Image Processing in Software?

With hardware image processing, video quality will always be limited. Will the software ISP open a world of image processing possibilities?

Some Like It Raw: 7 Reasons Raw Image Data Is Becoming More Popular

The use of raw data in the field of photography is becoming increasingly popular. Newer smartphones are increasingly offering consumers the option of shooting in raw, and this trend is set to increase. Here's why.

Inside the Digital Darkroom: Navigating the Image Signal Processing Pipeline

Image signal processing plays a crucial role in transforming the raw sensor data into visually appealing and captivating images. We embark on a journey to demystify the ISP pipeline and explore the intricacies of each stage.

From Blurry to Beautiful: Understanding Bokeh and Defocused Backgrounds

Bokeh is a photography trend which is on the rise. But what exactly is it and how can an AI approach help make it better?

AI Can See Clearly Now the Noise Has Gone: An Emerging Use-Case for Synopsys IP in Real-Time Video Enhancement

Synopsys IP now enjoys real-time video denoising for low light and HDR

5 Image Processing Trends to Watch in 2023

2023 will see affordable high-quality video spread across many sectors, reflecting both higher customer expectations and the emerging economies of scale of core technologies. Here are five key technology trends that will boost image quality in 2023.

Can AI Solve the 3 Biggest Barriers to Digital Imaging?

In the world of digital imaging, three of the biggest barriers to clear, crisp imaging are low light, HDR, and high motion (fast-moving objects). But what exactly makes these three barriers so difficult to overcome? And what can AI-based software do to help?

Introducing our Newest Visionaries

Meet the three newest additions to our team, and get a view into what we're working on behind the scenes at Visionary.ai.

Are Two Cameras Better than One?

Ever wondered what role multiple cameras play on your smartphone? Here, we break it down for you, and show why, with AI-based imaging, the dual camera is here to stay.

Improving Low Light Imaging with AI

Our latest test compares our AI-based denoising technology with a classical denoiser, with results that improve image detection in low light.