Articles tagged "fundamentals"

Raw bit depth is often discussed as if it improves image quality and that more is better, but that's not really the case. And it doesn't have much to do with colors or gradation. Here's why 12-bit is enough most of the time.

Equivalence is much-discussed, but still often misunderstood. Here's a simplified explanation of the concept of equivalent apertures, which is just another way of talking about light received by your camera.

Bayer filters are far from perfect – they're prone to sampling artifacts and throw away a lot of light. So why are they used by the cameras that live in millions of pockets around the world? Because it's a briliant piece of design. Read more

Following on our look at the effects of shot noise, our attentions turn to the electronic noise added by your camera. In this second part of the series, we look at read noise and how your sensor's behavior defines what your camera is capable of and consequently, how you should shoot with it. Read more

A quick look at why, in most circumstances, a larger sensor will make much more difference to your images quality than the size of your pixels.

How would you react if you were told that the aperture and shutter speed you choose make more difference to image noise than the ISO setting? You might be surprised to discover that a lot of the noise in your images doesn't come from your camera at all: it comes from the light you're capturing. Our own Richard Butler explains. Read more

Equivalence, at its most simple, is a way of comparing different formats (sensor sizes) on a common basis. Sounds straightforward enough, but the concept is still somewhat controversial and not always clearly understood. We thought it was about time we explained - and demonstrated - what equivalence means and what it doesn't. Learn more

Sensitivity (ISO) in digital imaging is the subject of quite a lot of confusion - it's becoming common to hear talk of manufacturers 'cheating with ISO.' Here we look at why sensitivity can be hard to pin down, why we use the definition we do and how it's really as complicated as it can seem.

Sensors, sensitivity, exposure and dynamic range (blog post)