Comparison Sony A6300 body vs Sony A7s body

The result shown by the camera in the DxOMark ranking.

DxOMark is one of the most popular and respected resources for expert camera testing. According to the test results, the camera receives a certain number of points; The more points, the higher the final score.

The physical size of the photosensitive element of a camera. Measured diagonally, often indicated in fractions of an inch — for example, 1/2.3" or 1/1.8" (accordingly, the second matrix will be larger than the first). Note that in such designations it is not the “ordinary” inch (2.54 cm) that is used, but the so-called "Vidiconovsky", which is less than a third and is about 17 mm. This is partly a tribute to the tradition that comes from television tubes — “vidicons” (the forerunners of modern matrices), partly a marketing ploy that gives buyers the impression that the matrices are larger than they actually are.

Anyway, at equal resolution (see Number of megapixels), a larger sensor size means a larger size of each individual pixel; accordingly, on large sensors, more light enters each pixel, which means that such sensors have a higher photosensitivity (see Light sensitivity) and a lower noise level, especially when shooting in low light conditions.

Most often in modern cameras there are such options:

— 1/2.3" and 1/1.7". Small matrices, typical for models without interchangeable lenses — compacts and digital ultrazooms(see "Camera type").

— 4/3. A kind of "transitional option" between small sensors of compact devices and large, but at the same time expensive "SLR" APS-C. The size of...such a matrix is 18x13.5 mm, which gives a diagonal of 22.5 mm (approximately 4/3 of the "Vidicon" inch described above, hence the name). It is used in SLR and "mirrorless" cameras (see "Camera type"), mainly entry-level, with Four Thirds and Micro Four Thirds mounts, respectively.

— APS-C. The size of matrices of this type can vary from 20.7x13.8 mm to 25.1x16.7 mm, depending on the manufacturer. They are widely used in entry-level and mid-level SLRs, as well as "mirrorless" models.

— APS-H. Somewhat larger than the APS-C described above (the size is 28.1x18.7 mm), otherwise it is almost completely the same.

— Full frame (or APS). The size of such a matrix is equal to the frame size of a classic photographic film — 36x24 mm. It is usually equipped with professional-grade SLR cameras.

— Big frame. This category includes all types of matrices, the size of which exceeds 36x24 mm (full frame). Cameras with similar sensors belong to the so-called medium format class and are, usually, professional models of the premium level. Large matrices allow you to use a resolution of tens of megapixels, while maintaining high clarity and colour quality, however, such devices cost accordingly.

The total number of individual light sensitive dots (pixels) provided in the camera's sensor. Denoted in megapixels - millions of pixels.

The total number of MPs, as a rule, is greater than the number of megapixels from which the frame is directly built (for more details, see "Effective number of MPs"). This is due to the presence of service areas on the matrix. In general, this parameter is more of a reference than practically significant: a larger total number of MPs with the same size and effective resolution means a slightly smaller size of each pixel, and, accordingly, an increased likelihood of noise (especially at high ISO values).

The number of pixels (megapixels) of the matrix directly involved in the construction of the image, in fact — the number of points from which the captured image is built. Some manufacturers, in addition to this parameter, also indicate the total number of MPs, taking into account the service areas of the matrix. However, it is the effective number of MPs that is considered the main indicator — it is this that directly affects the maximum resolution of the resulting image (see “Maximum image size”).

A megapixel is 1 million pixels. Numerous megapixels ensures high resolution of the captured photos, but is not a guarantee of high-quality images — much also depends on the size of the sensor, its light sensitivity (see the relevant glossary items), as well as hardware and software image processing tools used in the camera. Note that for small matrices, high resolution can sometimes be more of an evil than a blessing — such sensors are very prone to the appearance of noise in the image.

The maximum size of photos taken by the camera in normal (non-panoramic) mode. In fact, this paragraph indicates the highest resolution of photography — in pixels vertically and horizontally, for example, 3000x4000. This indicator directly depends on the resolution of the matrix: the number of dots in the image cannot exceed the effective number of megapixels (see above). For example, for the same 3000x4000, the matrix must have an effective resolution of at least 3000*4000 = 12 million dots, that is, 12 MP.

Theoretically, the larger the size of the photo, the more detailed the image, the more small details can be conveyed on it. At the same time, the overall image quality (including the visibility of fine details) depends not only on resolution, but also on a number of other technical and software factors; see "Effective MP number" for more details.

The sensitivity range of a digital camera matrix. In digital photography, light sensitivity is expressed in the same ISO units as in film photography; however, unlike film, the light sensitivity of the sensor in a digital camera can be changed, which gives you more options for adjusting shooting parameters. High maximum light sensitivity is important if you have to use a lens with a low aperture (see Aperture), as well as when shooting dimly lit scenes and fast-moving objects; in the latter case, high ISO allows you to use low shutter speeds, which minimizes image blur. However, note that with an increase in the value of the applied ISO, the level of noise in the resulting images also increases.

The presence in the camera of a special mechanism for cleaning the matrix from dust and other contaminants.

This function is found only in models with interchangeable lenses — "reflex cameras" and MILC (see "Camera type"). When replacing the lens in such cameras, the sensor turns out to be open, and the probability of its contamination is quite high; and extraneous particles on the matrix, at best, lead to the appearance of extraneous artifacts, at worst, to damage to the sensor. To avoid this, cleaning systems are provided. They usually work on the principle of ultrasound: high-frequency vibration "resets" debris from the surface of the sensor.

Note that no cleaning system is perfect — in particular, such systems are “too tough” for condensate, salt deposits and other similar contaminants. So the matrix may still need manual cleaning (ideally, in a service centre). Nevertheless, this function allows you to effectively deal with at least dust, which greatly simplifies the life of the user.

The number of scene programs provided in the camera design.

Scene programs are preset settings for some of the most common shooting scenes - for example, Portrait, Landscape, Sports, Sunset, etc. In addition to these presets, this list may include special effects and creative tools (such as color swap or fisheye), as well as exposure modes (see below). The presence of scene programs is especially useful for beginners and non-professional photographers, as it eliminates the need to tinker with each setting separately - just select the most suitable program, and all the necessary settings will be set automatically. The more scene programs the camera design provides, the wider its automatic adjustment capabilities.

Camera support for HDR.

HDR stands for High Dynamic Range. The main application of this technology is shooting scenes with significant differences in illumination, when there are both very bright and very dark areas in the frame. The features of modern digital photography are such that in the normal shooting mode, only a rather narrow range of brightness can be correctly processed; as a result, with a large difference in illumination, the image contains either too dark or overexposed fragments. HDR avoids this phenomenon: in this mode, the camera takes several shots with different exposure settings, and then glues them together in such a way as to reduce the brightness in bright places and increase in dark places. This allows you to shoot, for example, landscapes against the backdrop of a bright sunset sky, the interiors of dimly lit buildings with bright windows, etc. In addition, HDR can also be used as an artistic technique — to give the picture an unusual colour scheme.

Note that this effect can also be achieved using post-processing in a graphics editor; however, using the camera is much more convenient.