turning now to the drawings , a deblocking scheme is illustrated that applies varying levels of smoothing to edge boundaries based upon the level of detail of a video frame in a region surrounding the block boundary . in many embodiments , the decision concerning the specific characteristics of the filter applied to the pixels adjacent a block boundary is made by analyzing the characteristics of a set of pixels , including pixels from multiple rows and multiple columns , lying on either side of the boundary . once the level of detail of the set of pixels has been determined , a filter appropriate to the level of detail can be applied to the pixels adjacent the boundary . a portion of a reconstructed video frame is represented in fig1 . the video frame 10 is made up of a number of pixels 12 . in the illustrated embodiment , the video frame was reconstructed from data encoded using the characteristics of blocks of pixels . the horizontal boundaries 14 and vertical boundaries 16 between the reconstructed blocks of pixels are shown in fig1 . in the illustrated embodiment , the blocks are of 8 × 8 pixels . in other embodiments , the block can include a greater or lesser number of pixels with a different number of pixels in the horizontal and / or vertical dimensions . a deblocking filter in accordance with an embodiment of the present invention can be applied to the pixels along the horizontal and vertical block boundaries to improve the visual appearance of the video frame . a process for applying a deblocking filter in accordance with an embodiment of the present invention is shown in fig2 . the process 20 involves identifying ( 22 ) the location of horizontal and vertical block boundaries . the level of detail of the region of the video frame in which the block boundary is located is then determined ( 24 ). if the process determines ( 26 ) that a boundary lies in a smooth region of the reconstructed image , then a smoothing filter can be applied ( 28 ) to the pixels adjacent the boundary . when the boundary lies within a region possessing a threshold level of detail , a filter appropriate to the level of detail can be applied ( 30 ) to the pixels along the horizontal or vertical boundary . as will be discussed further below a first deblocking filter can be applied to pixel chrominance and / or a second deblocking filter can be applied to pixel luminance . in many embodiments , the same techniques can be used to determine the characteristics of the first and second filters that are applied to pixel chrominance and / or luminance . many embodiments of deblocking filters in accordance with the present invention use sets of pixels that include pixels from multiple rows and multiple columns including pixels that are not adjacent the boundary to determine whether a boundary lies within a region of the image that is smooth or a region that contains significant levels of detail . pixels that can be used to determine whether a horizontal boundary lies within a smooth region of a reconstructed video frame in accordance with an embodiment of the invention are illustrated in fig3 . the set of pixels 40 includes pixels from multiple rows and multiple columns . in the illustrated embodiment , the set of pixels 40 is an 8 × 8 block that is divided in half by the horizontal boundary 14 . in other embodiments , the dimensions of the set of pixels can vary . in the illustrated embodiment , each pixel in the set of pixels used to determine the level of detail of the region of the image in which the boundary lies is indicated using the notation v i , j , where i and j represent the position of the pixel with respect to the top left hand corner of the 8 × 8 set of pixels . when applying a deblocking filter to pixel chrominance v i , j can be the value of the pixels chrominance . when applying a deblocking filter to pixel luminance v i , j can be the value of the pixel luminance . in several embodiments , the level of detail of a set of pixels can be determined by taking the sum of the absolute difference of adjacent pixels in the set of pixels . when determining the level of detail in the chrominance or luminance using a sum of the absolute difference in the chrominance or luminance of pixels , the absolute difference of pixels separated by a block barely is often excluded from the calculation . the absolute difference of pixels separated by a block boundary can be excluded , because the absolute difference of these pixels can often be more reflective of the differences in the values of the quantizer used to encode the adjacent blocks of the video frame than the level of detail of the image in that region . in the case of a horizontal block boundary 14 , many embodiments take the sum of the absolute difference of each vertically adjacent pair of pixels in each column of the set of pixels except the pair of pixels that are separated by the block boundary . in the case of a vertical block boundary 16 , many embodiments take the sum of the absolute difference of each horizontally adjacent pair of pixels in each row of the set of pixels except the pair of pixels that are separated by the block boundary . in one embodiment , the relative smoothness of the region in which a horizontal block boundary is located can be determined in accordance with the following algorithm : thr ( qp ) is a threshold adaptive to qp qp is the average value of the quantizer for the two 8 × 8 blocks on each side of the block boundary . in one embodiment , the threshold values that are used for each qp are as listed in table 1 . in other embodiments , other values for thr ( qp ) with respect to qp can be used based upon the relative image quality resulting from the application of various filters to the pixels along the boundary . in addition , the value of qp can be determined in other ways . in one embodiment , qp is determined as the average of the quantizer values for each block in the video frame . in a further embodiment , the value of qp is determined as the value of the quantizer used to encode one of the blocks adjacent the block boundary . in other embodiments , qp can be determined in a variety of ways that are indicate of values of the quantizer used in the encoding of the video frame . in many embodiments , a determination that the boundary lies within a region of the image that is smooth ( e . g . sum_sad ≦ thr ( qp )* 2 ) results in the application of a filter possessing characteristics similar to the deblocking filter specified in the mpeg - 4 standard , when operating in “ dc offset mode ”. in other embodiments , other smoothing filters can be applied . in a number of embodiments , a determination that a boundary lies within a region of an image that is relatively detailed ( e . g . sum_sad & gt ; thr ( qp )* 2 ) can result in the application of a filter appropriate to the level of detail . embodiments of filters in accordance with the present invention that are appropriate in instances where a block boundary lies in a region possessing a comparatively high level of detail are discussed below . when a reconstructed image includes a boundary that lies within a detailed region of the image , the quality of the image can be improved by applying a level of filtering appropriate to the level of detail . in one embodiment , the amount of smoothing applied by a deblocking filter along a block boundary is inversely proportional to the level of detail of the image in the region being filtered . in several embodiments , the filter applied is determined based upon the level of detail of the portion of the image represented by the pixels to which the filter is to be applied . in one embodiment , the filter is applied to pixels from a single row or column that are adjacent the block boundary . in a further embodiment , the filter is applied to the two pixels on either side of the block boundary and the level of detail of the portion of the image represented by these four pixels is obtained using the following expression : var =(| v 3 , j - v 4 , j |* 3 +| v 4 , j - v 5 , j |* 2 +| v 5 , j - v 6 , j |* 3 )// 8 using a simple 3 - tap low pass filter , a deblocking filter in accordance with an embodiment of the present invention can be created that tailors to the level of detail in accordance with the following algorithm : v 4 , j ′=([ 4 9 3 ]·[ v 3 , j v 4 , j v 5 , j ] t )// 16 v 5 , j ′=([ 4 9 3 ]·[ v 6 , j v 5 , j v 4 , j ] t )// 16 v 4 , j ′=([ 3 11 2 ]·[ v 3 , j v 4 , j v 5 , j ] t )// 16 v 5 , j ′=([ 3 11 2 ]·[ v 6 , j v 5 , j v 4 , j ] t )// 16 thr_ 1 ( qp ) and thr_ 2 ( qp ) represent various thresholds in the level of detail and are adaptive with respect to qp qp is the average value of the quantizer for the two 8 × 8 blocks on each side of the block boundary in one embodiment , the threshold values for each qp are the values shown in table 2 . in the embodiment described above , the deblocking filter applies the greatest amount of smoothing when the level of detail is less than the first threshold ( i . e . var ≦ thr_ 1 ( qp )). a decreased amount of smoothing is applied when the level of detail is between the first and second thresholds ( i . e . thr_ 1 ( qp )& lt ; var ≦ thr_ 2 ( qp )) and the deblocking filter does not apply any smoothing to the pixels when the level of detail exceeds the second threshold ( i . e . var & gt ; thr_ 2 ( qp )). in other embodiments , other values for thr_ 1 ( qp ) and thr_ 2 ( qp ) can be used that are determined based upon observation of the image quality subsequent to the application of the deblocking filter to the reconstructed image . as discussed above , other embodiments of deblocking filters in accordance with the present invention derive qp in other ways that are indicative of the values of the quantizers used to encode the blocks of the reconstructed video frame . although the above embodiment uses two thresholds to determine the level of smoothing to be applied by the deblocking filter to pixels adjacent a block boundary located in a detailed region of an image , many embodiments use the same level of smoothing for all pixels adjacent block boundaries located within relatively detailed regions of an image . alternatively , embodiments of deblocking filters in accordance with the present invention can include a single threshold or more than two thresholds to determine the appropriate filter to apply . in many embodiments , a 3 - tap filter is used that increases the weighting provided to the 2 nd filter input as the level of detail of the portion of the image represented by the pixels being filtered increases . in addition , several embodiments decrease the weighting provided to the 1 st and 3 rd inputs of the 3 - tap filter as the level of detail of the portion of the image represented by the pixels being filtered increases . furthermore , numerous embodiments of 3 - tap filters in accordance with the present invention are asymmetric with respect to pixel being filtered . in many instances , use of asymmetric weightings in accordance with embodiments of the present invention can reduce translation distortions that may result from filtering across a block boundary . in many embodiments , a similar technique is used to smooth vertical block boundaries as is used to smooth horizontal block boundaries . in other embodiments , the technique used to determine the level of detail of the region of an image in which a vertical block boundary lies need not correspond to the technique used to determine the level of detail of the region of the image in which a horizontal block boundary lies . a set of pixels that can be used to determine whether a vertical block boundary lies within a relatively smooth region of an image or a relatively detailed region of an image is shown in fig4 . the set 50 forms an 8 × 4 block of pixels 12 that includes four pixels on either side of the vertical block boundary 16 . as discussed above other sets of pixels possessing greater or smaller dimensions can also be used . in one embodiment , a determination of whether the vertical block boundary 16 lies within a relatively smooth region or relatively detailed region involves analyzing the pixels within this 8 × 4 block as follows : thr ( qp ) is a threshold adaptive to qp qp is the average value of the quantizer for the two 8 × 8 blocks on each side of the block boundary . in one embodiment , the threshold values that are used for each qp are as listed in table 1 above . in other embodiments , other values can be used based upon the relative image quality resulting from the application of various filters to the pixels along the boundary . once a determination has been made as to whether the block boundary lies in a relatively smooth region or a relatively detailed region , deblocking filters similar to those described above with respect to the filtering of horizontal block boundaries can be used to filter the pixels along the vertical boundary in accordance with an embodiment of the invention . in other embodiments , other suitable deblocking filters can be applied . furthermore , although the above description relates to vertical boundaries the same techniques can be applied in accordance with embodiments of the present invention to the use of 4 × 8 blocks for determining the level of detail of an image surrounding a horizontal boundary . while the above description contains many specific embodiments of the invention , these should not be construed as limitations on the scope of the invention , but rather as an example of one embodiment thereof . for example , although determinations of relative smoothness or detail of a region of an image in which a boundary lies are discussed with respect to 8 × 8 , 8 × 4 and 4 × 8 blocks of pixels , the techniques are equally applicable for sets of pixels where the number of rows and columns of pixels are increased and / or decreased . accordingly , the scope of the invention should be determined not by the embodiments illustrated , but by the appended claims and their equivalents .