fig1 is a diagrammatic representation of the construction of a flat dynamic x - ray detector ( fdxd ). the x - ray detector includes a matrix - like sensor arrangement 10 of individual image sensors 11 ( pixels ), the image sensors 11 being organized in rows bearing the index j and columns bearing the index i . the image sensors 11 of a column i are all connected to the same processing unit 12 in which amplification and analog - to - digital conversion of the primary image signals read out by the image sensors 11 take place . the primary image signals may notably be charges q . because the image sensors 11 are read out one row after the other , in each read - out operation each processing unit 12 has to process only the signal from a single image sensor 11 , so that no conflicts arise despite the multiple responsibilities of a processing unit 12 . the output of the processing units 12 carries the secondary image signals gw which are delivered to the environment and are formed by digitized grey values . for structural reasons a practical sensor arrangement 10 may be designed so as to have an upper half and a lower half , so that each time only half columns are read out via a common processing unit . however , this does not affect the principle of the present invention in any way , so that for the sake of simplicity it will mainly be ignored hereinafter . during operation of the x - ray detector shown , x - rays are applied to the image sensors 11 with a dose x , thus causing the formation of charges q . during the described row - wise read - out operation such charges are converted into the grey values gw by the processing units 12 . the image sensors 11 may notably have a two - stage , indirectly converting structure . a preceding scintillator layer then forms light quanta from the incident x - ray quanta , which light quanta are converted into electric signals ( charges q ) in the subsequent light - sensitive layer of photodiodes . because of the light sensitivity of the photodiodes , they can also be excited by visible light of the dose φ . this light can be generated notably by means of the reset light device in the detector which is known from wo 98 / 01992 . the conversion steps taking place in the x - ray detector shown in fig1 are summarized in the following table 1 : the scintillator and the photodiodes are then combined so as to form an image sensor 11 for which it has been found that it can be described very well by a linear characteristic l ij with the offset o ij and the gain s ij . spatial differences in the gain of the photodiodes are then ignored . the described approach , however , can be readily generalized to individually different gains of the photodiodes . each time one column i ( in practice the columns may be subdivided , as stated before , into an upper half and a lower half ) of the sensor arrangement 10 is converted into a voltage by a charge amplifier and , possibly after multiplexing , quantized into a grey value gw by and analog - to - digital converter . these elements are combined so as to form the processing units 12 in fig1 . the charge amplifier has a very low non - linearity which is insignificant per se . differences between the non - linearities of neighboring columns , however , are very pronounced because they correspond to an edge in the image whereto the human visual system is very sensitive . these non - linearity differences are disturbing notably in the case of digital subtraction angiography ( dsa ), because inter alia extensive spreading of the grey value contrast is performed therein . for example , in dsa the difference is formed between an image of a vessel acquired without a contrast agent and an image of the vessel acquired with a contrast agent . according to the known prior art real - time methods for the correction of x - ray images , the locally different dark currents of the photodiodes ( offset ) and the locally different sensitivities of the scintillator layer ( gain ) are removed by subtraction of a dark image and subsequent division by a sensitivity image . this corresponds to the application of a linear transformation . finally , defective pixels , rows and columns in such corrected images are bridged by interpolation . moreover , for example , intermediate dark images can also be used to remove a large part of the afterglow of the scintillator as well as the residual signal of the photodiodes . the following table 2 shows diagrammatically the correction steps implemented at present and executed in real time on the acquired raw images of an fdxd . overall a linear characteristic is assumed in this respect . first an averaged dark image is subtracted from the raw images . subsequently , possibly a temporally variable dark image shift due to afterglow of the scintillator layer and / or residual signals of the photodiodes is corrected by means of intermediate dark images ( see de 196 31 624 c1 ). after that division takes place by an averaged , offset - corrected , uniformly illuminated image and finally interpolation of defects is performed . overall , according to this method the limits that can be tolerated are exceeded a number of times , that is , in respect of the mean non - linearity difference as well as the maximum non - linearity difference , so for the difference of the grey values of pixels of neighboring columns divided by their mean value . because it has been found that the linear correction is not adequate for given cases , such as notably dsa , the invention proposes an improved correction method which also involves a non - linear correction . by suitably limiting the effort and means it is achieved that , despite the improvement , the correction method is still suitable for execution in real time and that the characteristics required for correction can be determined exactly and while spending an acceptable amount of means and effort . the method is based on the recognition of the fact that the main cause of the non - linearities occurring in the x - ray detector resides in the characteristic of the charge amplifier and the a / d converter ( processing unit 12 ). in accordance with the invention both the non - linear inverse f i − 1 of this characteristic and the inverse of the characteristic l ij , assumed to be linear , of the sensor arrangement 10 are calculated by way of a calibration yet to be described . subsequently , the corrections are applied in an order which exactly opposes that in which the artifacts are induced in the image . this order of the correction steps is stated in the following table 3 : as is indicated at the bottom of fig1 , an x - ray dose x is converted into a quantity of light φ in the scintillator layer . this quantity of light is then converted , by way of a linear map l ij , pixel - wise into charge signals q by the sensor arrangement 10 , which charge signals themselves are column - wise converted into grey values gw by way of a non - linear map f i by the processing units 12 . hereinafter a calibration method will be described which enables calculation of approximations for the inverse values of the non - linear functions f i as well as the linear maps l ij . the calibration could utilize the so - called reset light or backlight , because no x - rays are required for this purpose . the following principle , however , can be readily applied also to the use of x - rays for the calibration . for the simultaneous determination of the characteristics f i for all charge amplifiers i , uniformly illuminated ( by means of backlight ) images are acquired for a suitable number of typically 60 different values φ k between the minimum adjustable duration of the reset light ( for example one μs ) and the maximum permissible duration ( for example , 60 μs ). the associated grey values gw ijk then cover the range that can be measured in the downward direction . in the upward direction the maximum duration of the backlight must be chosen to be such that at least the range up to the maximum linear dose , or to the maximum usable dose , of the detector is covered , but saturation is not yet reached . electronic noise is reduced during this acquisition of calibration data by averaging over a suitable number of , for example , ten images . moreover , for example , ten dark images as well as , for example , ten images uniformly exposed to x - rays are acquired and also averaged . as opposed to the present state of the art , the averaged , uniformly exposed image is not offset - corrected by subtraction of the dark image . the ( unknown ) mathematical relationship between the grey value gw and the applied quantity φ of backlight is as follows : for the inverse values f i − 1 of the non - linear functions f i an approach with suitable base functions is used while for the maps l ij a linear approach is formed , the approximation functions being described by a respective series of unknown parameters . furthermore , the above calibration measurements yield a number of value pairs {( gw ijk , φ k )} which describe the measured grey values gw ijk for different light quantities φ k . using a suitable mathematical fitting method , the unknown parameters and hence the functions can be determined from the number of measuring values and the above approaches for the functions f i − 1 and l ij . a special method of determining the unknown functions f i − 1 and l ij will be described in detail hereinafter with reference to fig2 . fig2 shows the part of this calibration data which is associated with two pixels from a ( half ) column , the light quantity φ ( expressed as the exposure time ) is plotted on the horizontal axis and the grey value gw is plotted on the vertical axis . all measuring values associated with a given pixel are linked by a compensating line , resulting in two curves k ij and k ij ′ . these two curves thus represent the characteristics of two pixels in the same column i and two different rows j and j ′. the non - linearity is shown in exaggerated form and is much smaller for a real fdxd . in this context a good local linearity of the amplifiers or analog - to - digital converters is assumed , for example , at the center of the dynamic range , that is , in fig2 just above gw = 8192 for a 14 - bit conversion . the photodiodes deliver charge in the form of not only a constant offset but also of a number of electrons which is directly proportional to the backlight duration , and this charge is amplified and quantized so that the following relationship is obtained : on the basis of the data shown in fig2 , the following method is then carried out : 1 . the unknown offsets o ij for each pixel are normalized by shifting the measured curves along the φ axis ; the unknown sensitivity is normalized for each pixel by stretching or compressing the φ axis . to this end , a linear regression is performed on , for example , 10 points above a threshold ( for example , gw 0 = 8192 ). the measured curves are then shifted in such a manner that they intersect the threshold value gw 0 at a fixed φ value ( for example , φ 0 = 30 μs ). subsequently , the rise at this φ value is normalized by scaling the φ axis ( for example , to 175 gw / μs ). overall an offset o ij and a scaling s ij are thus obtained for each pixel . a special treatment then prevents the occurrence of problems at defective pixels . 2 . the characteristics of all pixels of a ( half ) column i are then situated one over the other with the same rise ( denoted by shift arrows in fig2 ). the “ best estimate ” for the common inverse characteristic f i − 1 is then determined by adaptation of a model function with a number of free parameters c iv . a suitable model function is a simple polynomial with , for example , 6 terms , the grey values then being mapped on the interval [ 0 : 2 ] for reasons of stability : f i - 1 ⁡ ( gw ) = ∑ v = 0 5 ⁢ ⁢ c iv * ( gw gw 0 ) v more specifically , tschebyscheff polynomials can be used instead of simple polynomials . minimizing then takes place in the square mean of the distance between the fit function f i − 1 and the point pairs { gw ijk , o ij + s ij φ k }, where all pixels i , j of a ( half ) column i are used . because this is a linear model , the adaptation of the model function to the data can be analytically solved , that is , determined exactly by solving a system of equations . 3 . subsequently , the coefficients c iv ( parameters ) for each ( half ) column are stored . the averaged dark image is mapped by means of the optimum approximation , and so is the averaged , uniformly exposed image . the gain image is then obtained as the difference between these mapped ( linearized ) images . in the block “ correction for non - linearity ” of table 3 each raw image is then mapped ( linearized ) by means of the polynomial f i − 1 . in the block “ offset subtraction ” the linearized , averaged dark image is then subtracted and in the block “ division by gain ” the gain image described sub 3 . above is divided . the invention is of course not limited to the described or shown embodiments , but generally extends to any embodiment , which falls within the scope of the appended claims as seen in light of the foregoing description and drawings . while a particular feature of the invention may have been described above with respect to only one of the illustrated embodiments , such features may be combined with one or more other features of other embodiments , as may be desired and advantageous for any given particular application . from the above description of the invention , those skilled in the art will perceive improvements , changes and modification . such improvements , changes and modification within the skill of the art are intended to be covered by the appended claims .