While most of us are already happy with the quality of the Camera on our smartphones, you certainly took the bait of smartphone vendors.
Most if not all smartphones in the market are improving how their cameras work. From introducing higher megapixels, AI, smaller lens aperture and so forth, smartphones can take an increasingly great pictures, recognize faces, take slow-motion pictures in a very crisp high definition and more.
In a research, cameras and display capabilities have gone far better than how our eyes have evolved. Most of us can't see much of a difference between one high-quality photo and another high-quality one despite the two being taken with different cameras.
With the advancement of Technology, companies are increasingly adopt camera data with computational processing. What this means, improvement in quality is not anymore based on raw light, but rather than the data the camera receives.
Here, camera on smartphones create an image by involving complex mathematics and modelling. Using ground-breaking technology based on different sensors, data are combined using a computer to provide an even better image.
While this is certainly a good thing for consumers, the technological feat is more like improvements of the existing digital camera technology: they don't change your perception about cameras, nor changing the way you take or think about pictures.
The next technological feats, are creating cameras that can see the unseen.
Like seeing what lies around the corner, seeing through walls, and even imaging deep inside the human body and brain, all without involving electromagnetic radiation or technologies that are typically used only for experiments in particle physics.
Usually, cameras can capture lights that travel through the air. But by understanding how light can also be reflected and travel around different substances, you can also create cameras capable of taking photos of something that is well hidden from our very eyes.
The techniques involve how computers combine images with models to explain how light travels through different medium.
This additional layer of computational processing magically frees us from the chains of conventional imaging techniques. With this technology, you may not even need cameras at all. Instead, you will be using light detectors that once were considered unique to imaging only.
As a result, cameras can accomplish incredible things: like seeing through walls, knowing what lies behind a fog and what lies deep inside the human body.
Two examples that use this technology:
- Single-Pixel Cameras: Typical cameras use a lot of pixels to capture a scene that is usually illuminated by one light source. Using the single-pixel camera technology, you can generate images using the other way around: capturing information from many light sources using one pixel.
A simple data projector illuminates the scene on one spot at a time, or with a series of different patterns. For each illumination spot or pattern, the reflected light can be put together to create one final image.
- Multi-Sensor Imaging: Acquiring lots of information using different detectors pointed at the same scene.
The technology is capable in producing pictures that are made from combinations of many different images taken at different wavelengths. Those images can then be refocused using algorithms after the image has been taken.
Some of these technologies and their applications require through research and time to fully develop. Because they go where no typical cameras have gone before, they rely on our underlying knowledge of physics, as well as the combination of new technology and computer advancements.