with respect to fig1 there is shown a generalized block diagram illustrating the prior art floyd - steinberg error diffusion algorithm for displaying continuous tone digital images . the algorithm has been simplified to a 1 - dimensional representation for clarity , however , it should be recognized that the algorithm is extensible to multidimensional systems . the algorithm may be expressed as , ## equ1 ## where the output signal b ( n ) is a function of the input signal i ( n ) and a threshold t 0 . the error diffusion algorithm is implemented using the constant threshold level t 0 to encode the continuous tone input image . the thresholding , or clipping , of the input pixel results in an output pixel level and an associated error value . the error value is allocated to subsequent pixels based upon an appropriate weighting scheme . various weighting techniques may be used , for distribution of the error value , to modify the output image generated using the error diffusion algorithm . with respect to fig1 the image input block 10 introduces the input digital image i n into the system on a pixel by pixel basis , where n represents the input image pixel number . each input pixel has its corresponding error value e n - 1 added to the input value i n at adder block 12 , resulting in the modified image block 14 , where e n - 1 is the error value of the previous pixel ( n - 1 ). the modified image data , the sum of the input value and the error value of the previous pixel ( i n + e n - 1 ), is passed to the threshold comparator 20 . the modified image data is compared to the constant threshold value t 0 , from block 16 , to determine the appropriate output level b n , 22 or 24 . once the output level b n is determined , it is subtracted from the modified image value to generate the error level e n for the subsequent input pixel . the subtraction operation is represented by the sign inversion block 26 and subsequent adder block 28 , with e n representing the difference between the modified image value ( i n + e n - 1 ) and the output value b n for pixel n , as represented by error block 30 . the delay buffer block 32 represents a single pixel delay to store e n in the simplified 1 - dimensional situation . however , a multidimensional implementation would require a larger delay block 32 capable of summing and storing multiple weighted error values . the cyclical processing of pixels is continued until the end of the continuous tone input data is reached . fig2 illustrates the processing stages of a portion of a typical scanline , with n representing the input image pixel number . in fig2 a , i n denotes the value of the continuous tone digital input pixels . the modified image value , including the input and error , is represented by ( i n + e n - 1 ), with a constant threshold t 0 superimposed as a dashed line in fig2 b . at any point in fig2 b that the modified image value ( i n + e n - 1 ) exceeds the threshold level t 0 , a binary pulse will be output as indicated by curve b n in fig2 c . specifically , in fig2 b , ( i n + e n - 1 ) level 80 is below the t 0 threshold level 88 , resulting in b n output level 90 in fig2 c and an error e n equal to the difference between ( i n + e n - 1 ) and b n . processing of the subsequent input image pixel ( n + 1 ) provides a modified image value 82 in fig2 b which is above the t 0 threshold level 88 . this results in an output level b n + 1 indicated by 92 in fig2 c . the error value to be associated with the following pixel will again be determined by the difference between ( i n + 1 + e . sub . ( n - 1 )+ 1 ) and b n + 1 , where b n + 1 is now unity . the modified image value for input pixel ( n + 2 ) is indicated by level 84 in fig2 b . continued processing of the input pixels in fig2 a would eventually result in a ( i n + e n - 1 ) modified image value 83 exceeding the t 0 threshold level 88 and a resultant b n output level 96 . here , b n is set to 1 immediately before an i n input edge transition 72 to 74 , resulting in ( i n + e n - 1 ) modified image value 84 below t 0 threshold 88 and an output level b n = 0 at 98 . the upward transition , 72 to 74 , in input level i n is thus encoded as a downward transition , 96 to 98 in the b n output level . in an embodiment of the system according to the present invention , identification of i ( n ) and t 0 as independent components of the algorithm allows the representation of the algorithm for encoding of a continuous tone digital image by the expression . ## equ2 ## where b ( n ) represents the output of the modified error diffusion algorithm . the threshold term t is shown as a function of both i ( n ) and n , where n represents the respective pixel position in the input image scanline . this illustrates an additional degree of freedom that can be used to adapt the local pulse distribution to the digital image output requirements , such as controlling edge enhancement . specific methods for the calculation of threshold t are indicated by the expressions . ## equ3 ## where t 0 is a constant such that 0 ≦ t 0 ≦ 1 , a i is a weighting factor and n is an arbitrary nonnegative integer . the enhancement factor k may be held constant or may vary as a function of the input image content , local or global , within the continuous tone input image . choices for t { i ( n ), n } include , but are not limited to expressions 3a and 3b above . with reference to fig3 there is shown a general flow chart of an embodiment of the system according to the present invention , using the expressions 2 and 3b above . the image input block 10 introduces the input digital image i n into the system on a pixel by pixel basis . each input pixel has its corresponding error e n - 1 added to the input value at adder 12 , prior to passing the sum to the modified image block 14 . the modified image data , the sum of the input value and the error value of the previous input pixel ( i n + e n - 1 ), is passed to the threshold comparator block 20 . the modified threshold level t n is determined by first calculating a modifier based on the input value i n of each pixel , as represented in the threshold modifier block 40 . the modifier value i n ( k - 1 ) is then substracted from the nominal threshold value t 0 , in the threshold calculation block 42 , to determine the threshold value t n to be applied at the threshold comparator block 20 . alternatively , it is possible to accomplish an equivalent alteration of the threshold through the addition of the modifier value i n ( k - 1 ) to the modified image value ( i n + e n - 1 ) while maintaining the threshold value at its nominal level t 0 . the modified image value ( i n + e n - 1 ) is compared to the modified threshold level t n to determine the appropriate output level b n via blocks 22 and 24 . output level b n is then substrated from the modified image value ( i n + e n - 1 ) to determine the error level e n for the subsequent input pixel . the subtraction operation is represented by the sign inversion block 26 and subsequent add block 28 , with e n , at error block 30 , representing the difference between the modified image value ( i n + e n - 1 ) and the output value b n . the delay buffer block 32 represents a single pixel delay to store e n in the simplified 1 - dimensional situation . an illustration of the data associated with the processing of a scanline is shown in fig4 . the input value i n is shown in fig4 a , with two typical transition steps 100 and 102 . the corresponding modified image values ( i n + e n - 1 ) are illustrated in fig4 b for the progression of successive pixels , with the modified threshold level t n superimposed as a dashed line . the transition points 110 and 112 for the threshold t n correspond with transitions 100 and 102 of i n due to the fact that the threshold level t n is now a function of i n , from expression 3b above . at any point that the modified image value ( i n + e n - 1 ) exceeds the threshold level t n , a binary pulse will be output as indicated by curve b n in fig4 c . specifically , in fig4 b the modified image value ( i n + e n - 1 ) at 114 is below the threshold level t n 116 , resulting in an output level b n at 130 as illustrated in fig4 c . processing of the subsequent input image pixel ( n + 1 ) provides a modified image value 118 , as shown in fig4 b . the modified image value ( i n + 1 + e . sub . ( n - 1 )+ 1 ) 118 is compared to the threshold t n + 1 , now at level 120 due to the change in the input pixel level i n + 1 at transition 100 . the modified image value ( i n + 1 + e . sub . ( n - 1 )+ 1 ) exceeds the threshold level t n + 1 resulting in an output level b n + 1 at 132 . subsequent pixels , for example pixel ( n + 2 ) whose modified image value is indicated by 122 , will be processed with the lower threshold level t n + 2 , indicated by 120 , until another image input transition 102 occurs causing the threshold transition 112 . through the modification of the threshold level t n at input image transition points 100 , 102 , there is provided specific control of the amount of edge enhancement produced in this modified error diffusion technique . while the embodiment described herein is limited to a 1 - dimensional representation for the sake of simplified explanation , it should be understood that this technique is designed and intended for use in a multidimensional situation , where the display implementation represents a 2 - dimensional situation and the display of time varying data represents a 3 - dimensional situation . in addition , use of multiple threshold values t will allow generation of output for any multilevel output display , not being limited to the binary output as described . furthermore , the threshold level t , while illustrated as a function of a single input pixel , can be implemented as a function of a plurality of input pixels representing a region or neighborhood within the continuous tone input image . the embodiment described herein can also be expanded to include composite images , such as color images , where each color component might be treated individually by the algorithm , or where a vector quantization technique may be used to treat the image in a composite manner . in the case of color input images , edge enhancement could be used to control the color difference at a color transition while minimizing any effects on the brightness at that location . further expansion of this embodiment , in the area of computer generated holograms , would enable control of the edge enhancement of an input image to modify the amount of light diffracted into the desired order . while there has been illustrated and described what is at present considered to be a preferred embodiment of the of the present invention , it will be appreciated that numerous changes and modifications are likely to occur to those skilled in the art , and it is intended in the appended claims to cover all those changes and modifications which fall within the true spirit and scope of the present invention .