essence matrices digital cameras

At the end of the XX century to replace analog cameras came digital models.Their main difference is the use of light-sensitive embedded electronic sensors instead of film.Matrix digital camera converts the optical image projected by the lens into a digital signal.It depend on it and detail, and overall quality of the images.All

matrix composed of a plurality of tiny light-sensitive elements - of pixels, each of which forms one pixel.The sensors differ in the design: they are full frame, the back-illuminated, frame buffering, or columns, with progressive or interlaced.

One of the main characteristics of th
e matrix of digital cameras is the resolution, ie the number of pixels.As mentioned above, each pixel receives light and converts it into a single image point.The more pixels - the higher detail.However, it should be noted that the pursuit of the specimens with the highest resolution is quite pointless, since the naked eye to tell the difference between the pictures, taken by the camera 10 and, say, 12 megapixels, you can not.

Size matters

Another important parameter - the physical size of the matrix.What it is - the better, since a larger matrix gets more light.That is why the compact amateur "reflex" is much inferior in quality to overall professional cameras.The more light strikes the CCD, the purer and more natural colors will look and the less unpleasant noise.However, the problem of noise makers get the hand to be addressed through additional ingenious technology (noise reduction algorithms).

Finally, cameras with large matrices provide a shallower depth of field.In practice, this means that the photographer an opportunity to highlight the subject by adjusting the depth of field.That is, to put it simply, all the excess will be pleased blurry.

Unfortunately, vendors seldom indicate the size in millimeters of the matrix, but represent parameters vidikonovyh inches, for example, 1 / 3.2 "1 / 1.8", etc.Here is a simple buyer is important to know one thing - the higher the number in the denominator, the slimmer the matrix.