In 1981, Sony introduced the world's first digital camera. Inventors created a digital film substitute - a matrix. This breakthrough gave the opportunity to make thousands of pictures and save them in digital form. The image quality has become dependent not only from optics, but also from the size and properties of the matrix.
What are these properties? First, remember how the image is formed. The camera matrix is \u200b\u200ba grill with a dense structure. It consists of tiny photosensitive elements - photodiodes. The light assembled by the lens falls on the matrix. Photodiodes convert this light into an electrical charge. Then the charge enters the processor. He "reads" received charges and transforms them into a digital language. After that, a pixel is created. It keeps information about brightness and color shades, in the form of numbers and bits. Each pixel repeating the location of the photodium is placed on the image. Millions of tiny pixels form a snapshot that is recorded on the memory card.The matrix is \u200b\u200bthe perceiving part of the camera. When photons of light fall on it, it converts them into electricity.
- physical size;
- photodiode size.
Two of these parameters affect:
- photosensitivity;
- sharpness;
- permission;
- dynamic range of colors.
With the same location of recording small cuts the frame matrix. A very common misconception that changing the focal length.
- Taking pictures at high ISO without digital noise.
- Use a faster shutter speed to get a sharp image.
Look at the characteristics of two cameras. Canon 1Ds Mark II - full-frame, but because of the large pixel size has a maximum resolution as the Nikon D7000 / 5100.
For example, I use Nikon D5100 camera.
Stripping from the above, we can conclude: the physical size of the matrix and its properties - and there is an indicator of quality. For macro photography, the image detail and number of pixels are more important. For shooting in poor lighting, a more photosensitive matrix will fit. For amateur shooting, high-quality "digurities" with a small matrix can be approached. Remove what you have. After all, in order to get a good photo, do not need expensive technique. Whatever your matrix, it will not provide a deep meaning of the picture or fascinating landscape.