MXPA06010591A - Imcorporation and extraction of a seed linked to a television signal for pseudo-random noise generation - Google Patents

Abstract

The television signal (TS) comprising picture data (P1), in which television signal furthermore a predetermined seed is comprised (S1), usable for initiating a pseudo-random generator yielding a deterministic sequence of random values to be used for adding noise to the picture data, solves the problem of arbitrary look for different receiving apparatuses, each with their own generated pseudo-random noise.

Description

INCORPORATION AND EXTRACTION OF A SEED LINKED TO A TELEVISION FOR THE GENERATION OF PSEUDOALEATORY NOISE DESCRIPTION OF THE INVENTION The invention relates to a television signal. The invention also relates to a data carrier comprising such a television signal. The invention also relates to a signal processing unit arranged to manipulate such a television signal. The invention also relates to a disc reader apparatus compatible with such a data carrier. The invention also relates to a television signal receiving system comprising the signal processing unit. The invention also relates to a method of supplying an output signal signal of a television signal. The invention also relates to software for such a method. The invention also relates to a method for generating such a television signal. In the generation of moving images of previous techniques, there are basically two usual ways of capturing images. The first is with a photographic emulsion, and the second is electronic capture, in Ref .: 174296 currently typically with a CCD device. The moving images generated by any device are perceptually dissimilar in a number of aspects, in particular they have different noise characteristics. In electronic capture the noise is largely electronic in nature, which can be emulated by means of a Gaussian variable per pixel. In photographed material, noise is different in nature. The emulsions contain silver halide particles of varying sizes, with an average size depending on the sensitivity of the emulsion (daylight emulsions having smaller particles on average than emulsions for use in darker ambient lighting). The gray values are generated depending on the statistics of how many particles of each size in a particular region of the emulsion are activated by at least a few colliding photons. The final appearance of this process is an image that contains noise, which can be modeled by means of a spatially correlated noise that extends over the neighboring image elements (for example, the pixels in a digital representation). Note that the term noise tends to have different meanings, varying from a single stochastic value added per pixel separately to spatially correlated noise with a pattern. In this text the terms film grain and noise are used alternatively, indicating to the person with experience that the technology described herein can work with both simple pixel noise (as for CCD sensors) and spatially correlated noise (such as which can originate, for example, by sending a noise stream through a spatial filter and adding filtered values to pixels of images). U.S. Patent 5,917,609 describes the compression of data of image and noise objects separately, and the addition of noise to the decompressor side. Noise is difficult to compress since it is at odds with the basis of compression. Normally the noise is not encoded, since a viewer does not want to see it in any way. Current compression standards (MPEG, AVC, ...) typically use frequency-based encoding (a discrete cosine transform, DCT), in which high frequencies are rejected, high frequencies typically represent noise . However, recently there is a tendency, particularly among content providers, to reintroduce noise, at least the noise of photographic emulsions called grain / noise. First of all this provides an artistic and original view and feel to the material of moving images, and secondly an opposite effect of compression, reduced sharpness, is partially compensated for by the introduction of noise. Since the silver halide particles may have been anywhere within the emulsion actually used, the essence of US-5,917,609 is that high compression for noise can be achieved. The noise does not have to be regenerated in the actual configuration in which it appeared to be in the captured image, instead any noise distribution with the statistical properties of the emulsion used (amplitude, correlation, etc.) will suffice. Therefore, instead of coding the noise, it can be regenerated with a noise-generating equation and added to the data of compressed objects on the decompressor side. An object of the invention is to provide a possibility of predictable noise regeneration on the side of receiving television signals. The inventors had an idea that it is a disadvantage of the approach in accordance with US-5,917,609 that different reproductions of moving images (by different receivers or by means of the same receiver for different reproduction cases) result in different visual appearances due to the addition of stochastic noise, that is, there is no control over what actually occurs on the side of the decompressor. The object of the present invention is possible because the television signal comprising image data additionally comprises a predetermined seed, usable to initiate a pseudorandom generator that produces a deterministic sequence of random values to be used to add noise to the data of images . Pseudorandom noise generators have the property that they can produce a sequence of noise values in a predetermined deterministic order. Derterminístico in the context of the present text 'will be considered as follows. Random generators typically work by applying a function called transition f to a previous pseudo-random realization rn-i to obtain a current realization rn: rn = f (rn-?) Deterministic means that given an initial value-called seed-r0, for the The same sequence of pseudo-random values is obtained, that is, this frequency is determined completely by one or more seeds (the latter being the case for equations that generate the current realization depending on several previous realizations). This should not be confused with the deterministic indication, which means that there is at least a weak correlation between samples, making the sequence not. perfectly random, which can be suspected if the sequence is generated by a simple mathematical formula. While this may be problematic for cryptography, the addition of noise to the grain of the film is rather acceptable because it is sufficient when the successive values in the sequence appear rather random, that is, they can not be easily predicted. Also the probability distribution of the random noise values -not- need to be exactly Gaussian. The provision of a predetermined seed in the television signal, which is subsequently used by each receiving apparatus "having" the same pseudo-random generator, guarantees that the resulting output image signal, which results from the element-based addition per element of the noise values generated for data image elements (e.g., pixels of objects in a representation, or a region of a scan line in an analog representation) taken from the image data, is the same for each reproduction. Therefore a content provider need not worry that in a particular receiver, for example, a visually unpleasant noise value is generated over a character of a subtitle, rather this can be verified previously on the transmitter side, or even in a production study long before the transmission. It seems to be in conflict with the noise generation principle on the receiver side, which is supposed to be inherently random, to make the noise again somewhat deterministic. However it is an idea of the inventors that this may be desirable, and that the object can be achieved with relatively little modification of the television signal. One modality of the television signal contains several seeds for corresponding groups of images. Instead of sending a single seed at the beginning of the moving image, it is advantageous if a new seed is sent at consecutive moments of time. This is advantageous for a receiver that reads only a part of the moving images, because with this measurement, the receiver will not have to lose the seed but rather will find a new seed soon. This type of signal can be interesting as an artifice. For example, rapid advancement in compressed image material typically can read only the first I images (intraimages) of consecutive groups of images (GOP). In this case it is advantageous to send a new seed for each first image I. Another modality of the television signal comprises for at least one image several seeds, useful for generating noise for different spatial regions of the at least one image. This signal mode is useful from the point of view of the content provider. If a human operator has to verify the quality of the noise added with a particular seed, although the generation of noise values is carried out quickly, the verification of an image requires a lot of work. Therefore, if the human operator perceives that in one part of an image the noise looks ugly, instead of calculating the noise with a new seed for the whole image (and having to check the whole image again) to see if now there is now another distortion in another region of the image), you have the option to define a new seed and recalculate the noise only for the problematic region. The additional seed will be stored together with a geometric indication of the region, for example, a cut in a compressed content. An additional embodiment of the television signal also comprises coefficients for tuning an algorithm of the pseudorandom generator. The compressed seed realizes that the generated noise is deterministic, that is, the same for all receivers. However, the average statistical appearance of the noise depends on the equations of the random generator instead of the seed. It is therefore useful if the content provider can refine coefficients of the equations and compress them simultaneously in the signal. In this way you have a more complete control over the exact appearance of the movie of the moving images on the receiver side. The coefficients can, for example, be the amplitude in number of gray values of noise, the coefficients to filter that determine the spatial correlation of noise, etc. An even more advanced modality of the television signal also comprises at least one random generator-type indicator, indicating a specific one of a plurality of supported pseudorandom generators. In this way the content provider also pre-selects a number of different pseudorandom generators algorithms, based on which the receiving device switches to the preselected pseudorandom generator to generate the noise of the movie. For example, if the human operator considers that the noise generated by a simple linear congruence generator provides a sufficiently artistic appearance, he can set the type of indicator to a value corresponding to this linear congruence generator (or alternatively the absence of a type indicator). particular may mean the use of this generator as a return option back). Alternatively, in the event that the operator is still not satisfied with the artistic results, it can generate (for all moving images), or for subsets of images, for example those that are part of a single shot) noise with an alternative generator (for example, deterministic random sampling of a prerecorded film grain noise image) and send a signaling indicator of type of that this alternative random generator should be used by the receivers. A versatile modality of the television signal comprises at least two alternative seeds (and if appropriate alternative sets of coefficients), in which a first alternative seed (SI) is to be used for a first supported pseudorandom generator or alternatively a second alternative seed (Sil) is to be used for a second supported pseudorandom generator. This mode is useful from the point of view of the receiver manufacturer. A first manufacturer of a cheap device may wish to use a simple pseudorandom generator, while a manufacturer of a high quality receiver may prefer the use of a high quality random generator. The content provider may not be able to avoid this, but may still want its content to look artistic. With this signal it is able to control the appearance for different pseudorandom generators simultaneously, by transmitting alternative seeds for the alternative supported pseudorandom generators. It will have to be clear to the person skilled in the art that the distinctive elements of the various modalities of previous television signals can be combined and further the image data for each of the modalities can be in compressed form. As described in the introduction, the addition of noise is particularly interesting for compressed motion picture data. A compression for which seed incorporation may be of particular interest is the Advanced Video Coding (AVC) standardized by the ISO / IEC MPEG Joint Video Team (JVT). & ITU-T VCEG (ISO / IEC JTC1 / SC29 / WG11 and ITU-T SG16 Q.6). The television signal can be transmitted via terrestrial transmission, satellite, cable, telephone network, etc., but it can also be placed in a data carrier, in particular a blue ray disk (information about the standardization consortium of the Founder Philips, Sony, Matsushita, etc., can be found at http: //www.blu-ray.com. What is required on the receiver side is a signal processing unit arranged to deal with the particularities of the new television signal, that is, arranged to receive the television signal, and additionally compress extraction means arranged for: extracting data image elements from the image data in the television signal; and extract the seed of the television signal. And video processing means comprising: a pseudo-random generator arranged to generate a pseudo-random noise sequence of the seed-based noise image elements; and adding means arranged to add the elements of noise images to the elements of data images based on element by element, generating an output signal to be visualized. Therefore this apparatus is directed in its addition of film noise by the instructions in the television signal, in particular the seed. This unit can, for example, be part of a dedicated ASIC, or software that runs on a generic or special purpose processor built into the receiver. In one embodiment of the signal processing unit capable of handling the modality of the television signal with different seeds for respective groups of images, the extraction means is arranged to extract a new seed for consecutive instants of time, and the pseudorandom generator is ready to restart the generation of pseudorandom noise sequences for each new seed. In this way the apparatus can extract the required seed when it reads only part of the moving images. In another embodiment of the signal processing unit, the extraction means is arranged to extract several seeds for an image, the pseudorandom generator is arranged to generate a sequence of pseudo-random noise corresponding to each of the various seeds, and the medium Processing is arranged to add the elements of noise images based on the different seeds with respect to different regions of the image. In this way the unit can add different optimized noise patches to the movie, as claimed by the content provider. An additional embodiment of the processing unit has the extraction means additionally arranged to extract coefficients, and the pseudorandom generator arranged to adapt its algorithm to generate the pseudorandom noise sequence with the coefficients. For example, different filter coefficients may have been transmitted in the television signal to fine-tune the spatial correlation of the noise of the film. A versatile embodiment of the processing unit comprises extraction means which are additionally arranged to extract a random generator-type indicator, and has the video processing means arranged to select a particular number of the random generation algorithms supported depending on the indicator of type. If different pseudo-random generators are supported in the signal processing units of the receivers, the content provider can select the one that according to his preference, provides the best results. On the other hand, a receiver having different pseudorandom generators can select a particular one based on its own foundation, in particular if the signal supports alternative options, providing all satisfactory results. This signal processing unit is typically included in a disc reader apparatus further comprising: a data carrier input unit for inputting a data carrier as mentioned above, capable in addition of extracting the television signal from the data carrier; and - a television signal output arranged to transfer the output image signal resulting from the signal processing unit to a screen. Examples of disc-reading apparatus are devices which are known as disc readers, i.e., in particular a blue-ray disc player, but also a combination of apparatus such as a television signal player / recorder which also comprises the blue ray disc reader unit also for example a hard disk, or a decoder receiver comprising a blue ray disc reader unit. In fact, a disc reader apparatus should be understood as any apparatus having disc reading capabilities, that is, typically comprising a disc reader unit. The signal processing unit may also be included in a television signal receiving system which additionally comprises a receiver unit arranged to receive the television signal from a wired or wireless connection to a television data source, and being arranged the processing unit for receiving the television signal from the receiving unit and for supplying the output image signal containing the generated noise.A screen can be included in the television signal receiving system, whose screen receives the signal from provided output Examples of such television signal receiving system are: a television receiver based on single box CRT; a system comprising a decoder receiver for receiving and processing (including adding movie noise) the television signal connected to a standard screen, for example LCD; or - a professional receiving system of a supplier or distributor. Variants of this television system can be constructed similarly to the variants of the disc reader apparatus. A method for supplying an output picture signal is also described, which comprises: receiving a television signal according to claim 1; extracting elements of data images from the image data in the television signal; extracting the seed from the television signal, generating a pseudorandom noise sequence of the noise-based image elements based on the seed; and - adding the elements of noise images to the elements of data images based on element by element, producing the signal of output images, as well as a computer program product comprising a code that allows a processor to execute the The method of claim 13. Finally, a method of incorporating a seed into the television signal is advantageous, the method includes: SI) extracting elements from data images; S2) generating elements of noise images for at least one selected seed; S3) adding the elements of noise images to the elements of data images that produce a signal of output images; S4) analyze the output image signal by a human operator, or automatically analyze the noise in accordance with a predetermined quality determination method by applying previously programmed heuristics, producing any method a decision output equal to PASS or FAULT S5) incorporate automatically the seed currently selected and analyzed in the television signal if the decision output is equal to PASA, and continue with the second stage S2 for a new selected seed if the decision output is equal to FAIL. This is a coincidence method on the production side that allows the creation of the television signal, that is, it allows the producer / content verifier to incorporate at least one seed in accordance with its link to the television signal.

These and other aspects of the television signal, the signal processing unit and the disc reading apparatus according to the invention will be apparent and will be explained with reference to the implementations and modalities described hereinafter, and with reference to the attached drawings, which serve simply as non-limiting illustrations that exemplify the more general concept, and in which dotted lines are used to indicate that a component is optional. In the figures: Figure 1 schematically shows the television signal; Figure 2 schematically shows a modality of the signal processing unit; and Figure 3 shows schematically one mode of the disc reader apparatus and the television signal receiving system. In Figure 1, a TS television signal according to the invention is shown in a digital form, for example, "compressed advanced video encoding" (AVC). The signal is composed of metadata Ml, M2 (for example, header, compression parameters, ..., and in accordance with the present invention also at least one SI seed), interlaced with image data Pl, P2 describing objects in a captured scene, typically numbers indicating for example Fourier transform coefficients for blocks of pixels. It should be easy for the experienced person to realize, for example, what an analog equivalent of the TS television signal would look like, where the metadata typically reside in money laundering lines, in which there is still room for additional data. For example, the current proposed version of AVC contains the so-called enhanced information supplement - (SEl) with semantics of film grains. In this standard it is possible to "specify a noise generation equation of the type: ^ ^ [equation 1] G [x, y, c] = Cji + 2jCwp [x - k, y - l, c] + 2jCmG [x, y, c + m] k, lm In the equation 1 x refers to a horizontal pixel coordinate , and for a vertical pixel coordinate, c for a color plane (for example, using the representation Y, Cb, Cr), the C's are coefficients (constants), and G [x, y, c] is the value of Gaussian noise generated by the position (x, y) in the color plane c. The first term Cin is a local noise term, with n a random sample of a normalized Gaussian distribution N (0,1). The second term models the spatial correlation in the color plane c, weighting the Gaussian noise values previously generated by previous positions (x-k, y-1). The third term models the color noise, that is, the correlation between color planes [since the grains in the different emulsions do not show the same spatial distribution, color errors occur]. The local noise term is typically generated by a pseudo-random generator in the receiving apparatus. For example, uniform-noise is generated first, and subsequently transformed to Gaussian noise by means of the Box-Muller equation: Zx = -j-2lnx1 cos (2px2) [equation 2] in which xi and x2 are evenly distributed and Zi and z2 normally. Uniform noise is generated by one of a number of possible pseudo-random generators, for example, the simple linear congruence generator: xn = (axn_1 + b) modn [equation 3] in which a and b and m are constants, and mod is the modulus. This is a simple generator, although it is disadvantageous, it generates correlated sequences that are rather highly temporary. The random number sequence starts by considering the SI seed as the first number or. This seed is typically considered with the receiving apparatus, for example based on its current clock time value.

However, this has a disadvantage that the visual appearance of the images produced with noise will look different for different receiving devices. According to the invention, as shown in Fig. 2, a signal processing unit 200 comprises in a receiver apparatus compatible with the television signal TS-for example, a television signal receiving system 320 [see Fig. 3]. ] such as an LCD television receiver or a disc reader apparatus 300 that receives the television signal on a data carrier 310-to the seed Si of the television signal TS to generate pseudorandom noise values, which by both are controlled in a unique way by the television signal seed SI. The signal processing unit 200 contains an extraction means 202, which processes the signal as prescribed by the television standard used, and generates the image data Pl and the SI seed to a video processing medium 204. This means The video processing system can optionally decode / decompress the image data Pl, for example from MPEG, AVC, etc., to gray values of consecutive pixels. A pseudo-random generator 208 generates a NSEQ sequence of noise values for all pixels in consecutive images, until - if provided in the television signal TS - a new seed S2 is extracted, whereby the pseudo-random generator 208 contains the generation of noise with the same algorithm, but restarted with a new seed. On the side of the content provider this can be done easily, since the current value of the pseudorandom noise sequence that is being executed can be included in the television signal automatically as a new seed S2. Finally, the generated noise values-for example, for each pixel, or for a partial element of an analog television signal-are added to the pixel values (data image elements) by addition means 208, which produce an output image signal (O) to be displayed.Most advanced modes of the signal processing unit 200 can be constructed to handle more advanced modes of the TS television signal., a different seed SI 'may be provided instead of SI for a subregion of an image. In this case typically R region identification information is also included in the television signal (e.g., coordinates of a pixel rectangle), which is also extracted by the extraction means 202 and sent to the video processing means 204 , such that the latter is applied to noise values generated by the pseudorandom NSEQ noise sequence appropriately planted to the pixels of the different regions.

In another embodiment, the video processing means 204 also receives coefficients, for example, the coefficients of equation 1 or equation 3 above. Since the grain noise of the film tends to depend on the illumination, it is advantageous if these coefficients are also regularly updatable, by group of images, or even in images. "The video processing medium can also receive a generator-type indicator pseudo-randomization TI, indicating the type of random generator algorithm.As described above, random generation consists of several stages (generation of uniform noise and noise conformation, and more stages may be available such as rearrangement, despreading, etc., as known from the prior art of generation of pseudorandom numbers), the type indicators can determine each stage separately, or a whole algorithmic combination of stages.The type indicators can also be updated regularly (TI, T2). of pseudo-random generators in the television signal for only one (region of) image or for a group of images. The SI seed is to be used with the TI type and the Sil seed with the type Til. It should be clear to the experienced person that variants of the television signal can be designated, for example, in which some of the type indicators can be omitted, because all receiving apparatuses conform to the standard that the first seed If always to be used with a particular type of pseudorandom generator.

The type TI can indicate the pseudo-random generation strategy as described above with equations 1 through 3. The type T2 can indicate that a uniform noise generator type also rotates r places to the right of the bits of each number obtained, by example, by a linear congruence generator. 0 can the logistic equation be used to generate the noise sequence:? N = r? N-? - ~? n ~? [equation 4] Instead of using mathematical equations to generate these noise values, advanced pseudo-random generators (for example of type T3) can be used by sampling in a pre-recorded image of captured noise. This image is large enough to provide noise for moving images. It is transmitted, for example, at the beginning of moving images, or it can still be transmitted by the provider at particular times (for example, the first Monday of each month) and stored in the receiving apparatus. Typically it is constructed by capturing under a number of lighting conditions for a particular type of film emulsion an image of a smooth white screen. The random generator in this case provides a start position (x, y) in the captured noise image, after which a number of neighboring noise pixels are sampled and sampled and added to the object data pixels, and a subsequent position is generated. Type T4 can be used to indicate that that noise should be sampled from a second captured noise image corresponding to a different emulsion. This can be interchanged in a single series of moving images, for example, the night sequences that are captured by coarse-grained film material. If several pseudorandom generators are supported on the television signal and the signal processing unit 200, the video processing means 204 may select the optional one according to its own bases. The described algorithmic components can be realized in practice (completely or in part) as hardware (for example, parts of a specific IC application) or as software running on a special digital signal processor, a generic processor, etc. As a computer program product should be understood any physical realization of a collection of commands that enable a processor -generic or special purpose-, after a series of loading stages to obtain commands in the processor, so that it executes any of the characteristics functions of an invention. In particular, the counting program can be performed as data in a carrier such as a disk or tape, data present in a memory, data traveling through a network connection -wireless or wireless-, or program code or paper . In addition to a program code, feature data required by the program can also be represented as a computer program product. It should be noted that the aforementioned modalities are illustrative rather than limiting of the invention. In addition to the combinations of elements of the invention combined in the claims, other combinations of the elements are possible. Any combination of elements can be done in a single dedicated element. Any reference sign in parentheses in the claim is not intended to limit the invention. The word "comprises" does not exclude the presence of elements or aspects not listed in a claim. The word "a", or "an" that precedes an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware or by means of software running on a processor. It is noted that in relation to this date, the best method known to the applicant to carry out the aforementioned invention, is that which is clear from the present description of the invention.

Claims (1)

1. CLAIMS Having described the invention as above, the content of the following claims is claimed as property: 1. A television signal comprising image data, characterized in that the television signal also comprises a predetermined seed, usable for starting a pseudo-random generator that produces a deterministic sequence of random values to be used to add noise to the image data. - - 2. A television signal according to claim 1, characterized in that it comprises several seeds for respective groups of images. 3. A television signal according to claim 1, characterized in that it comprises for at least one image several seeds, usable to generate noise for different respective spatial regions of the at least one image. . A television signal according to any one of the preceding claims, characterized in that it additionally comprises coefficients to be tuned. an algorithm of the pseudorandom generator. 5. A television signal according to any of the preceding claims, characterized in that it additionally comprises a random generator-type indicator, indicating a specific one of a plurality of supported pseudorandom generators. 6 A television signal according to claims 1 to 6, characterized in that it comprises at least two alternative seeds, in which the first alternative seed will be used for a first supported pseudo-random generator or alternatively a second seed will be used for a second supported pseudorandom generator. . 7 A television signal according to any of the preceding claims, characterized in that it comprises the image data in compressed form. 8 A television signal according to claim 7, characterized in that it comprises the image data in compressed form of "advanced video compression". 9. A data carrier characterized by comprises a television signal according to one of the preceding claims. 10 A data carrier according to the blue ray disk specification, characterized in that it comprises a signal according to one of claims 1 to 8. eleven . Additionally, it comprises extraction means arranged to: extract elements of data images from the image data in the television signal; and - extracting the seed from the television signal, and a video processing means comprising: a pseudo-random generator arranged to generate a pseudorandom noise sequence of seed-based noise image elements; and - adding means arranged to add elements of noise images to the elements of data images with an element base per element, producing a signal of output images to be displayed. 12. A signal processing unit according to claim 11, further characterized by being arranged to handle a television signal according to claim 2, wherein the extraction means is arranged to extract a new seed for a moment. of consecutive time, and the pseudorandom generator is arranged to restart a generation of pseudorandom noise sequence for the new seed. 13. A signal processing unit according to claim 11, further characterized by being arranged to handle a television signal according to claim 3, wherein the extraction means is arranged to extract several seeds for an image, in the which the pseudorandom generator is arranged to generate a sequence of pseudorandom noise corresponding to each of the various seeds, and in which the video processing means is arranged to add the noise image elements based on different seeds to different respective regions of the image. 14. A signal processing unit according to claim 11, characterized in that it is further arranged to handle a television signal according to claim 4, wherein the extraction means is further arranged to extract coefficients, and in the which the pseudorandom generator is arranged to adapt its algorithm to generate the pseudorandom noise sequence with respect to the coefficients. A signal processing unit according to claim 11, characterized in that it is further arranged to handle a television signal according to claim 5, wherein the extraction means is further arranged to extract a random generator-type indicator. , and in which the processing means is arranged to select a particular one from a number of random generation algorithms dependent on the type of indicator. 16. A disc reader apparatus, characterized in that it comprises: a data carrier input unit for inputting a data carrier according to claim 9 or 10, further capable of extracting from the data carrier a television signal in accordance with claim 1; a signal processing unit according to one of claims 11 to 15, arranged to supply the output image signal; and a television signal output arranged to transfer the output image signal containing generated noise to a screen. 17. A television signal receiving system, characterized in that it comprises: a receiving unit arranged to receive from a wired or wireless connection to a television data source a television signal according to claim 1; and a signal processing unit according to one of claims 11 to 15, arranged to receive the television signal from the receiving unit and supply the output image signal containing generated noise. 18. A method of supplying an output image signal, characterized in that it comprises: receiving a television signal according to claim 1; - extract elements of data images from the image data in the television signal; extracting the seed from the television signal, generating a pseudo-random noise sequence of the seed-based noise image elements; ,, and adding the noise image elements to the data image elements based on the criterion of element by element, producing the signal of output images, 19. A computer program product characterized in that it comprises a code that allows a processor to execute the method according to claim 18. 20. A method of incorporation of a seed in a television signal according to claim 1, characterized in that it comprises: 51) extracting elements of data images; 52) generate elements of noise images for at least one selected seed; 53) add the elements of noise images to the elements of data images, which produce a signal of output images; 54) analyze the signal of output images by a human operator, or automatically analyze the noise in accordance with a predetermined quality determination method by applying previously programmed heuristics, producing any method a decision output equal to PASS or FAIL 55) incorporate automatically the seed currently selected and analyzed in the television signal if the decision output is equal to PASA, and continue with the second stage S2 for a new selected seed if the decision output is equal to FAIL.