AN APPARATUS FOR AN EFFICIENT CODING OF TELEVISION SIGNALS

Abstract: This invention relates to an apparatus for an efficient coding which reduces the number of bits per one pixel of digital television signals. The pixel data in the present field is predicted by way of a linear combination of the pixel data in the past several fields and parameters as prediction coeffi­ cients, and the parameters which make this prediction difference minimum are derived, and this parameter is transmitted.

Description: The present invention relates to an apparatus for an efficient coding of television signals. As an efficient coding to reduce the number of bits per one pixel, a coding system between frames which performs a three-dimensional, namely, a time spatial process is known. The coding system between frames include a system by way of a moving detection and a system by way of a moving correction. In the former system, the moving detection is performed on the basis of the presence or absence of the frame difference and only the portion where there is no frame difference (namely, the portion where no movement exists) is replaced by the data in the previous frame. In the latter system, the positional relation information (moving correction amount) between the present frame and the previous frame is obtained by way of a block matching method or the like, and the image in the previous frame is controlled on the basis of this moving correction amount and thereby deriving the correlation between the frames. The block matching method is a method whereby a screen is divided into a plurality of blocks and the moving amount and moving direction are obtained for every block and then these moving amount and moving direction are transmitted. The coding system between frames by way of the moving detection has problems such that, in case of general moving pictures, there are a lot of moving portions and the compression factor is low. On the other hand, the coding system between frames by way of the moving correction has drawbacks such that a distortion is caused due to the division into the blocks and the compression ratio is relatively low since the moving amount is transmitted for every block. Further, any of these systems has a drawback such that a problem of what is called an uncovered background such that the pixel data in the original region is extinguished when a moving object moves is caused. US-4,202,011 discloses an apparatus for coding television signals in which certain fields are not transmitted but instead the error between the data of the field and a simple interpolation from adjacent fields is sent. US-4,437,119 discloses an interface adaptive predictor system in which intra-field, inter-field and inter-frame prediction process are performed and the results of the most accurate process or combination is transmitted. It is therefore an object of the present invention to provide an apparatus for an efficient coding which can realise an extremely large compression factor as compared with a conventional apparatus. Another object of the invention is to provide an apparatus for an efficient coding which can cope with various kinds of movements due to a plurality of moving objects by performing various kinds of movements due to a plurality of moving objects by performing various kinds of corrections in the direction of time. Still another object of the invention is to provide an apparatus for an efficient coding in which by performing various kinds of corrections in the direction of space, problems such as a faded edge portion, uncovered background and the like are not caused. According to the present invention there is provided: an apparatus for the efficient coding of television signals, the apparatus comprising; memory means adapted to store the pixel data from a plurality of previous fields of the television signal; parameter generating means for generating a set of parameters defining a linear combination of pixel data currently stored by the memory means, the linear combination being an approximation to the pixel data of the current field; prediction means for generating pixel data of a predicted current field according to the linear combination, defined by the parameters of the pixel data stored by the memory means; the parameter generating means being responsive to the pixel data predicted by the prediction means to generate a set of parameters such that the error between the pixel data of the predicted current field and the pixel data of the actual current field is minimised; and transmission means for transmitting the parameters. The invention intends to predict the present movement from the pixel data in past several fields. In this invention, since each moving information of a plurality of moving objects is included in the foregoing pixel data, namely, since moving vectors having various directions and speeds have a strong time-dependent correlation, there is no need to transmit the moving amount and it is sufficient to transmit only parameters (coefficients for prediction) for every one field, so that the average number of bits per one pixel can be made extremely small. In addition, in this invention, since the moving correction is handled as a time-dependent change of the level of each pixel, it can be integrally processed as a kinetic model such as a constant speed motion (which is expressed by the data in the past two fields) or a constant acceleration motion (which is expressed by the data in the past three fields) that does not depend on the direction or speed of the moving vector. Thus, it is enough to simply correct the deviation from the moving model. Therefore, according to this invention, the compression factor can be raised. Further, since the time-dependent and spatial correction is three-dimensionally performed, the problems such as a block distortion, an uncovered background and the like are not caused. The above and other objects, features and advantages of the present invention will be more apparent from the following detailed description in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a block diagram of one embodiment of the present invention; Fig. 2 is a block diagram showing an arrangement to receive the transmission data coded by the embodiment of the invention; and Figs. 3 and 4 are schematic diagrams which are used to explain the embodiment of the invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will now be described hereinbelow with reference to the drawings. Fig. 1 shows an arrangement of one embodiment of the present invention, namely, of a coding apparatus which is arranged on the transmission side. Fig. 2 shows an arrangement of a decoding apparatus which is arranged on the reception side. In Fig. 1, a reference numeral 1 denotes a parameter identifying section. The digital television signals digitized by a predetermined sampling frequency, namely, the image data in the present field k is inputted to the parameter identifying section 1. Also, the image data in the previous field k-1, the image data in the further previous field k-2, and the image data in the further previous field k-3 are inputted to the parameter identifying section 1. These image data are the prediction data and the parameter identifying section 1 identifies thirty-five parameters w₁ to w₃₅ each consisting of, for example, eight bits for every one field using these prediction data and the data in the present field by way of a method of least squares. The parameter identifying section 1 includes a line delay circuit and a sample delay circuit to adjust the spatial positional relation. The parameters w₁ to w₃₅ identified by the parameter identifying section 1 are used as transmission data. The parameters w₁ to w₃₅ are parameters in the field k-1 which is delayed by one field with regard to the input data. A numeral 2 indicates a predicting section and 3, 4 and 5 denote field memories, respectively. The prediction data from the predicting section 2 are written into the field memories 3 to 5. The image data (prediction data) in the past three fields k-1, k-2 and k-3 before the field k-1 are stored in those memories. The predicting section 2 obtains the prediction value with respect to the present pixel using the thirty-five prediction data and parameters w₁ to w₃₅ which are located near the pixel to be predicted and included in the past three fields. For this purpose, a plurality of line delay circuits and a plurality of sample delay circuits to adjust the spatial positional relation are also included in the predicting section 2. The prediction value regarding the pixel data (Fig. 3A) in the present field k is derived as a linear combination of the total thirty-five pixel data consisting of the data (Fig. 3B) of ten pixels near the previous field k-1, data (Fig. 3C) of fifteen pixels near the further previous field k-2, and data (Fig. 3D) of ten pixels near the further previous field k-3. In Figs. 3A to 3D, the solid lines in the horizontal direction represent the lines which are scanned in the fields k and k-2. The broken lines in the horizontal direction indicate the lines which are scanned in the fields k-1 and k-3. It is assumed that the line at the location where the pixel data in the present field k is included is y, the line at the location over the line y is y+1, and the line at the position over the line y+1 is y+2. The lines at the locations under and below the line y are y-1 and y-2, respectively. In Figs. 3A to 3D, the solid lines in the vertical direction denote the sampling positions in each field. The sampling position which is one sampling before the sampling position x of the pixel data in the present field k is x-1, and the sampling position which is two samplings before the sampling position x is x-2, respectively. The sampling positions which are one and two samplings after the sampling position x are x+1 and x+2, respectively. The prediction data I and k (x,y) regarding the present pixel is expressed by the linear combination based on the following equation. I k (x,y) = w1 × I k-1 (x-2,y+1) + w2 × I k-1 (x-1,y+1) + w3 × I k-1 (x,y+1) + w4 × I k-1 (x+1,y+1) + w5 × I k-1 (x+2,y+1) + w6 × I k-1 (x-2,y-1) + w7 × I k-1 (x-1,y-1) + w8 × I k-1 (x,y-1) + w9 × I k-1 (x+1,y-1) + w10 × I k-1 (x+2,y-1) + w11 × I k-2 (x-2,y+2) + W12 × I k-2 (x-1,y+2) + w13 × I k-2 (x,y+2) + w14 × I k-2 (x+1,y+2) + w15 × I k-2 (x+2,y+2) + w16 × I k-2 (x-2,y) + w17 × I k-2 (x-1,y) + w18 × I k-2 (x,y) + w19 × I k-2 (x+1,y) + w20 × I k-2 (x+2,y) + w21 × I k-2 (x-2,y-2) + w22 × I k-2 (x-1,y-2) + w23 × I k-2 (x,y-2) + w24 × I k-2 (x+1,y-2) + w25 × I k-2 (x+2,y-2) + w26 × I k-3 (x-2,y+1) + w27 × I k-3 (x-1,y+1) + w28 × I k-3 (x,y+1) + w29 × I k-3 (x+1,y+1) + w30 × I k-3 (x+2,y+1) + w31 × I k-3 (x-2,y-1) + w32 × I k-3 (x-1,y-1) + w33 × I k-3 (x,y-1) + w34 × I k-3 (x+1,y-1) + w35 × I k-3 (x+2,y-1) The above predictive equation means that the prediction value regarding the pixel in the present field is obtained in a manner such that the close pixel having the strongest correlation is taken out as a representative value and the correction in the time spatial direction is performed to this representative value. The parameter identifying section 1 identifies the parameters using the prediction data by way of a method of least squares. Namely, the true value I k of a certain pixel in the present field is a value of which the difference e was added to the prediction value I and k of the pixel obtained from the above equation in correspondence to the true value I k . Thus, the difference e becomes equal to I and k - I k and the parameters w₁ to w₃₅ which make the square sum of this error minimum with regard to a predetermined number of pixels (namely, all pixels in one field) are calculated. In this case, the highest precision can be derived by calculating the parameters w₁ to w₃₅ using all prediction pixels included in one field (for instance, 800 x 255 prediction pixels in the case where 800 pixels exist in one line and one field consists of 255 lines) by way of a method of least squares; however, the circuit scale becomes large. Therefore, the parameters w₁ to w₃₅ are identified using a predetermined number of, for instance, three hundred thinned-out representative pixels for every plurality of samples. On the other hand, in the peripheral portion of the screen where no data exists, as shown in Fig. 4, it is assumed that the same data as data a to h in the screen exist out of the screen and these data may be substituted. Or as indicated by the broken lines in Fig. 4, the identification may be performed in the region which is located one line and two samples inside the peripheral portion of the screen. As shown in Fig. 2, a decoding apparatus which receives the above-mentioned coded transmission data comprises: field memories 7, 8 and 9; and a predicting section 6 to which the received parameters w₁ to w₃₅ are Supplied and also the data in the past three fields are supplied from the field memories 7 to 9. The prediction data, namely, digital television signals are formed by the predicting section 6. To decode the digital television signals on the reception side, the initial data as many as three fields are transmitted prior to transmission of the parameters w₁ to w₃₅ and these initial data are written into the field memories 7 to 9, respectively. The pixel data in the past two fields may be used with respect to the present field and, in such a case, a constant speed kinetic model is expressed as a three-dimensional kinetic model. The identification of the parameters w₁ to w₃₅ which is executed by the parameter identifying section 1 will then be explained hereinbelow with regard to one example using a method of least squares. The linear combination equation to calculate the prediction data I and k (x,y) can be expressed by the following determinant in case of performing the prediction regarding the overall present field. If this determinant is expressed simply by use of a matrix and a vector, it will be where, is a vector of the (m x n)th order, is a matrix of (m x n, 35), and W is a vector of the 35th order. On the other hand, a vector I consisting of data (true values) in the present field which are arranged is a vector of the (m x n)th order. Assuming that e is a differential prediction vector of the (m x n)th order, the equation I = I + e = I · W + e is established. This equation becomes e = I - I · W The parameters W which make the square sum of the differential prediction vector e minimum are derived. This equation is modified as follows. where, T is a transposed matrix. In this equation, the parameters W which make e T e minimum satisfy the following equation derived by way of the formulae of mathematics. In case of all (m x n) pixels in one field, a very large matrix of (m x n, 35) is handled according to this equation, so that it is not practical. Therefore, the above equation is modified to a matrix and a vector of small orders and is processed. Namely, the matrix of (35, 35) of (P = I T · I ) and the vector of the 35th order of (Q = I T · I ) are used. The above P and Q are formed from the prediction data in the past three fields which are supplied to the parameter identifying section 1. The parameters W are calculated by (P⁻¹ Q). The present invention intends to predict the present motion from the pixel data in the past several fields; therefore, there is no need to transmit the moving amount since each moving information of a plurality of moving objects is included in the pixel data. It is sufficient to transmit only the parameters (coefficients for prediction) for every one field. Thus, the averate number of bits per one pixel can be extremely reduced. In addition, according to the invention, since the moving correction is handled as a time-dependent change of the level of each pixel, it can be integrally processed as a kinetic model such as a constant speed motion (which is expressed by the data in the past two fields) or a constant acceleration motion (which is expressed by the data in the past three fields) that does not depend on the direction or speed of the moving vector. Consequently, it is enough to merely and simply correct the deviation from the moving model and the compression factor can be raised due to the invention. On one hand, since the time-dependent and spatial correction is executed three-dimensionally, the problems such as block distortion, uncovered background and the like are not caused. Further, since the three-dimensional kinetic model is expressed by way of a linear combination, the parameters can be identified at a high speed by a simpler hardware as compared with the case where it is expressed by way of a non-linear high-order combination.

Claims: An apparatus for the efficient coding of television signals, the apparatus comprising; memory means (3, 4, 5) adapted to store the pixel data from a plurality of previous fields of the television signal; parameter generating means (1) for generating a set of parameters (w₁ - w₃₅) defining a linear combination of pixel data currently stored by the memory means (3, 4, 5), the linear combination being an approximation to the pixel data of the current field; prediction means (2) for generating pixel data (I k ) of a predicted current field according to the linear combination, defined by the parameters of the pixel data stored by the memory means; the parameter generating means being responsive to the pixel data (I k ) predicted by the prediction means to generate a set of parameters such that the error between the pixel data of the predicted current field and the pixel data of the actual current field is minimised; and transmission means for transmitting the parameters (w₁ - w₃₅). An apparatus according to claim 1, wherein said memory means are adapted to store pixel data from two previous fields. An apparatus according to claim 2, wherein the parameter generating means (2) comprises an arithmetic operating circuit and wherein the parameters are generated such that the square of the sum of the difference between the predicted pixel data and the actual pixel data for the current field is minimised. An apparatus according to claim 1, 2 or 3 further comprising means for transmitting pixel data from a plurality of previous fields prior to the transmission of the parameters.

Inventors: KONDO, TETSUJIRO
Applicants: SONY CORPORATION
Application year: 1985
Main classification: H04N7
IPC codes: H04N7, G06T9