Safin R.T.a senior lecturer, Almaty University of Power engineering and Telecommunication (Almaty city, Kazakhstan)

Turzhanova K.M.candidate for a master's degree, Almaty University of Power engineering and Telecommunication (Almaty city, Kazakhstan)

Artyukhin V.V.a c.t.s., docent, Almaty University of Power engineering and Telecommunication (Almaty city, Kazakhstan)

Satimova E.G.a c.t.s., docent, Almaty University of Power engineering and Telecommunication (Almaty city, Kazakhstan)

           

The review of methods for determination of Signal/Noise ratio in the video systems

 

Receiving television (TV) image in accordance with the requirements of the customer in compliance with the requirements of SS P 51558-2000 Video security systems. General technical requirements and test methods "[2] is the ultimate goal in building video surveillance systems, video surveillance and protection. To this end, it is important to correctly determine the composition of the equipment throughout the video. Surveillance System image quality is completely determined by the characteristics of units, assemblies and elements included in it.

Subjective method. Subjective method by visual assessment of the quality of television images according to SS 26320-84, adopted in the television systems with the use of modern computer technology. As observed object using the standard test pattern with the main parameters according to SS 14872-82, specially modified for carrying out the test lenses. Subjective video quality is measured by the following procedure:

- A video sequence are selected for use in the test;

- Selected parameters of the measuring system;

- Select a video display method and calculation of measurement results;

- Invited the required number of experts (usually not less than 15);

- Carried out the test itself;

- Calculated average based on an expert assessment [1].

Subjective measurements of varying degrees of difficulty - from statements such as "I think, well," before formal assessment with the participation of many observers and under controlled experimental conditions - has long been used to assess the quality of the video in the development of products, their assessment of customers, as well as in post-production. A formal subjective tests involving large numbers of viewers ensures the correct accounting of features of the human visual system.

Subjective assessment does not provide that the metric, which is obtained by a purely objective assessment, but it can give a useful and repeatable results. In other words, it is possible to develop such image quality ratings that accurately reflect the perception of the typical viewer.

The International Telecommunication Union (ITU) developed a standard in the formal subjective tests of image quality - Recommendation ITU-R BT.500 "Method of the subjective assessment of the quality of the television picture." This Recommendation, first published in 1974 (then repeatedly updated), describes a series of procedures to evaluate the image quality of a person. Each treatment begins with the selection of participants who do not have to be experts and check their vision. Under controlled conditions, the participants are browsing up to 30 minutes of test scenes and evaluation of image quality put up for each scene.

Recommendation describes several methods for measuring subjective video quality. Consider some of them. The method of measurement called the Double Stimulus Impairment Scale ("Scale degradation with two stimuli") is as follows. Reference members browsing stage (often in the form of 601 video standard), and then - the same scene after its processing in the system under test. Each participant evaluates the degradation of the image of the scene after processing a single number on a scale from 1 - very annoying; 2 - annoying; 3 - slightly annoying; 4 - notably, but not annoying; and 5 - unnoticed. Balls are set to a number of different scenes.

Another variant of this method: party evaluates the quality of both scenes in a pair of "standard-after treatment", without knowing which one is the reference. Then analyzed the difference estimates for each pair of scenes. In another group of techniques from Recommendation BT.500 audience is invited to evaluate the treated test scene, but they did not indicate the reference. In these techniques, "one stimulus", the same test scene party may be presented one or more times. It uses a five-point scale, "the degree of irritation," described above, or 11-point digital scale.

Method Single Stimulus Continuous Quality Evaluation ("Continuous quality assessment with one stimulus") provides that the viewer continuously assesses a program lasting 10-20 minutes, rather than a series of test scenes. Audience ratings are recorded several times per minute. However, the ratings are based on viewing the real program, may depend on the evaluation of the content of the participant of the program, not just the image quality.

Subjective testing methods can be used to assess a wide variety of types of video equipment and systems, including video recorders, video capture cards, video codecs for Web- cameras, as well as industrial complexes. Subjective methods are suitable for both analog and digital compressed video.

However, the subjective tests necessary to control many different parameters, including the selection and testing of participants, as well as ensuring equal conditions for all viewing audiences. Carrying out tests and analysis of results require time and costs. And, more importantly, for different studios different results [5] may happen when evaluating the same equipment.

Instrumental (oscilloscope) method. For the concept of minimum illumination is used so-called IRE scale (an abbreviation of the name of Institute of Radio Engineers). At this scale, the maximum useful video 0.7 is taken as 100 IRE units. Composite video signal with the standard amplitude 0.3 1B comprises a clock signal and an image signal 0.7. Different manufacturers specify the sensitivity for different cameras on a scale IRE values ​​from 20 to 50. With this decrease in the amplitude of the video image quality is reduced to an acceptable (usable picture).

According to the ambiguity of the choice of threshold manufacturer photo detectors as a parameter indicative of the sensitivity, often use other indicators. For broadcast-standard expansion of this parameter can be output voltage for a given level of illumination, the type of source, lens speed and noise level. Another commonly used parameter is the steepness of the lighting characteristics - output voltage, normalized to the exposure. The dimension of this characteristic reflects the effect illumination reciprocity law and the accumulation of time. The output signal is determined by the total number of photons collected in CCD elements, while the illumination (the number of photons per second) and the accumulation time may be different.

To determine the main parameters of the TV system must be sensitive knowledge of video cameras in the form of minimum acceptable illumination of the CCD, as it is possible to take into account the luminosity of the lens used in this case, the distance to the object, its contrast and so on. D. Illumination on E0 object and matrix EM are related:

                             ,                                              (1)

 

where k0 - the reflection coefficient of the object; T - light transmittance lens; m - lens focal length ratio of the distance to the object; F - the ratio of the focal length f of the lens to the diameter D of its entrance pupil.

The total attenuation of the light lens associated with the square of its relative aperture (aperture F) and transmission coefficient τ. In a number of guidelines in applied television using a special name for the relationship - the transmission ratio or transmission ratio. In practice, the lighting on the object and on the matrix differ by an order of magnitude.

The fundamental factor limiting the sensitivity is noise having at least two sources: the quantum noise of light structure and the inherent noise of the camera. In an ideal television camera its sensitivity depends on the photon noise - fluctuations in the number of photons with respect to the mean. In view of the independence of photons in a stream of photons in the light amount of the expansion element in a particular frame is subject to Poisson statistics. As a result, the achievable signal to noise photon is proportional to the square root of the number of photons received from a TV camera observing the object (here a first approximation the dependence is eliminated from consideration radiation energy and reflection coefficients for the quantum efficiency of the wavelength, which are discussed below). The plot in the field of the TV camera is characterized by reflection coefficients k0 object and background Kf; ability to accumulate photo detector is determined by the area of ​​the expansion element, the quantum yield n, averaged over the length of the wave, and the time savings Tn. For the cameras used in the composition of PPS, it is also important to set a threshold signal / noise ratio threshold to provide the desired accuracy of the adoption of decisions by the observer.

Taking into account these parameters and formulas (1) allows you to find an expression for the ultimate sensitivity, i.e. the threshold of illumination of the scene to the actual situation of detection and identification of low-contrast objects:

,                                             (2)

Where - potentially available CCD number of photons per 1 ñì2 of 1 second with uniform illumination spectrum and in the visible range of 1 lux.

When a large difference in the coefficients of reflection of the object and the background in the numerator of the formula (2) instead of the background of the reflection coefficient Kf is necessary to substitute half the sum of the coefficients of reflection of the object and the background.

Managing the numerical values ​​of the majority of members in the formula (2) options are either unavailable or can be carried out within a small range. Thus, the aperture ratio of the best modern spherical lens (F = 0.8 ... 0.75) is unlikely to be significantly increased in the near future. The quantum yield of most serial CCD closer to 0.5 in the visible wavelength range and near IK. The area of element expansion in CCD tends to decrease, and the parameters of the micro lenses are close to the theoretical limit. Substitution of typical values ​​of the characteristics of the observed scenes and the CCD matrix provides an estimate of the maximum sensitivity of the camera in the real world: Ethr = 0.2 lx worse nameplate data given in the specifications. The sensitivity of the cameras is not only limited by photon noise, but also a number of additional factors.

          Firstly, there is the scattering of light in the lens (Figure 1). Part of the light photons incident on the entrance pupil of the objective, and creates additional diffused background. This pattern reduces the contrast of the useful object, and introduces an additional photon noise. Second, the CCD is always inherent noise present. Reading dark signal, etc. Further, the sensitivity of CCDs is reduced due to the emission output transistor device. This phenomenon was first observed in astronomical cooled CCD camera, and was regarded as unique. Since the sensitivity of CCDs has increased 100-fold, and this effect contributes to the decrease in sensitivity CCD cameras similar to the scattered light in the lens.

Continuous growth of the sensitivity of cameras focused the attention of manufacturers and users in this parameter, relegating to second place is another important parameter - the signal / noise ratio. However, its role is paramount in practice, since it is the ratio of signal / noise ratio is determined by the probability of correct identification of images, the potential resolution and the number of brightness gradations reproduced in television system. The meaning of "signal / noise ratio" is based on the measurement of the ratio of signal amplitude to the rms noise.

Picture 1. The reasons for limiting the sensitivity of the camcorder on the CCD

 

Differences in the shape of the recording signal / noise ratio associated with the use of linear or logarithmic scale. Two ways to specify this parameter are related.

                                          (3)

Hereby, the mean amplitude of the signal Us and noise - UN. That signal to noise at rated video amplitude (0.7 V or 100 IRE) and is contained in the specifications to the camera. In practice, the measurement of television oscillographic method peak noise value is determined on the scale "coring" at the level of black. Typically a Gaussian noise is considered and to go to the rms value using peak factor equal to 6.

The noise level of the CCD is accepted to estimate the number of rms noise electrons σ, which is a standard deviation of each carrier bag charge. Noise CCD have several independent causes, so that the number of rms noise of the electrons is determined by the geometrical sum of the CCD components:.

Photon noise. As stated previously, this noise is a consequence of the discrete nature of light. The standard deviation (SD) number of photons from the average value is equal to the square root of the mean value. For maximum signal RMS photon noise in the CCD element reaches hundreds electrons. Investigated noise components are the first cause of restrictions potentially achievable signal / noise ratio. On the other hand, it is limited to a capacity element CCD matrices which model interline transfer of approximately 50,000 electrons. Therefore, the TV cameras, serially produced for the PPS, the maximum S / N ratio at a high luminance does not exceed 50 dB. S / N ratio is an objective characteristic of the image related to the subjective assessment of its quality. Expert evaluation of subjective quality degradation with increasing noise level on a scale recommended by the International Advisory Committee for the radio (CCIR), is shown in Table 1.

 

Table 1. Expert evaluation of subjective quality degradation with increasing noise level on a scale recommended by the International Advisory Committee for the radio (CCIR)

Un, ìVïðè US = 100 IRE

, dB

, times

Quality

Deterioration

14,0

50

316

Excellent

Unnoticeable

17,5

40

100

Good

Noticeable, but does not interfere

23,0

30

32

Satisfactory

Slightly interfere

35,0

20

10

Unsatisfactory

Interfere

70,0

10

3

Unfit

Strongly interfere

 

Conclusion:

The main parameters for camcorder studies are resolution, signal / noise ratio and the light sensitivity of the camcorder, with a relative aperture F. For competent installation of video cameras should be considered the focal length, the format, the value of the dead zone and some others. For the objective control and various studies video is the most appropriate instrumental method based on subjective perceptions.

 

 

 

 

Literature:

 

1.  Àðòþõèí Â. Â.. Èíñòðóìåíòàëüíîå îïðåäåëåíèå êà÷åñòâåííûõ õàðàêòåðèñòèê âèäåîêàìåð â ñèñòåìàõ îõðàííîãî òåëåâèäåíèÿ // Ìàòåðèàëû 6-îé íàó÷íî-ïðàêòè÷åñêîé êîíôåðåíöèè. «Àêòóàëüíûå âîçìîæíîñòè íàóêè – 2010». – Praha. – «Education and Science». – 2010. – ñ.43÷46.

2.  ÃÎÑÒ Ð 51558-2000. «Ñèñòåìû îõðàííûå òåëåâèçèîííûå. Îáùèå òåõíè÷åñêèå òðåáîâàíèÿ è ìåòîäû èñïûòàíèé». – 2001.

Âëàäî Äàìüÿíîâñêè. CCTV. Áèáëèÿ âèäåîíàáëþäåíèÿ. Öèôðîâûå è ñåòåâûå òåõíîëîãèè. Ïåðåâîä ñ àíãë. – Ì.: ÎÎÎ «Àé-Ýñ-Ýñ Ïðåññ», 2006, - 480 ñ: