Name: 數碼相機是如何工作的？| 榨汁機 - 榨汁機 - 榨汁機 (How do digital cameras work? | James May Q&A | Head Squeeze)
Uploaded: 2021-01-14T04:51:03.000Z
Duration: 4 min 35 s
Description: 【看影片學英語】數萬部 YouTube 影片，搭配英漢字典即點即查，輕鬆掌握單字發音與用法，長久累積看電影不必再看字幕。

How do digital cameras work? The camera is one of those wondrous inventions that changed

the world. Before it arrived the only way to make a picture was to draw it or paint

情態副詞

it. Which obviously removed a fair amount of the spontaneity when you were trying to

knock out a quick selfie of yourself giving epic duckface while eating a Maccy-Ds with

Which is probably why Rembrandt always looked so depressed in his self-portraits. Anyway,

the camera made it possible to make an instant picture in a fraction of a second. But the

process involved in getting the image out of the camera and printed was a complicated

one. The light-sensitive film had to be carefully removed, sent to a processor, get developed,

turned into a negative and then printed onto photographic paper. In the dark.

Which was a problem with the rise of the digital age, the internet and your pressing need to

upload a picture of Fluffy to the 'my cat looks like Hitler' web forum.

But while the microprocessor revolution started to transform many parts of our lives from

the 1970s onwards, the digital camera was a relatively late invention, arriving after

the video camera, the mobile phone, the laptop computer and even the Billy Big Bass singing

plastic fish. This was because the technology that lies at the heart of it, the sensor chip,

In a film camera, light is sent through a lens and a shutter onto photo-sensitive film.

Which, with a subject shot in normal light, needs just hundredths of a second of exposure

to capture the image. The front end of a digital camera works on exactly the same principle,

light is focused through the lens and controlled by a shutter and variable aperture. But instead

of film, there's a light-sensitive sensor chip that has to record all of the data in

There are different ways of doing this, but we're going to concentrate on the CMOS or

Complementary Metal Oxide Semiconductor sensor that now sits in the majority of digital cameras,

from those integrated in phones to fairly chunky DSLRs (that's Digital Single Lens Reflex

in the jargon) their the sort that look like 'real' cameras.

The camera's sensor is covered with tiny individual light sensitive cells, each of which can measure

the amount of light that falls on in. As the digital camera has evolved, so have the number

of these pixels on the surface of the sensor.

Ten years ago, you'd struggle to get a digital camera capable of delivering much more than

a single 'megapixel' of resolution, a million total pixels, or a grid 1200 by 900.

But these days, 12 or 16 megapixels are commonplace among top-spec 'prosumer' and professional

camera. That's enough to enable you to produce images the size of a magazine cover with no

The cells act like the photosensitive chemicals on old-fashioned film, reacting to the light

that falls on them and then reporting to the camera's microprocessor brain. That would

be fine for the sort of moody black and white shots favoured by gothy Instagram users. But,

because most of us want to post pictures of our lunch to Facebook in colour, it's also

necessary to split the light 'seen' by the camera into the three primary colours which

can then be used to create an accurate image.

There are different ways of doing this: some expensive cameras will even employ three different

filters. But most CMOS sensors will use what's called a 'Bayer Filter'. This is a grid of

coloured filters that sit over the sensor with red, green and blue elements over individual

pixels that will only allow their respective light colours through. Because the human eye

is most sensitive to green light, which largely determines how 'bright' an image looks, there

are twice as many green pixels as red or blue. The filters are arranged in a clever mathematical

pattern, which means that the camera's brain can interpolate using a demosaicing algorithm.

Or, in slightly plainer language, the camera doesn't just look at an individual pixel on

the sensor, it also looks at the pixels around it to come up with an informed guess of what

Although even the most advanced sensors in the world still struggle with the increasingly

unlikely colour of Richard Hammond's hair.