Abstract: Bilateral filtering is a technique to delete images noise while effectively preserving edges．The nave implementation of the bilateral filtering can be extremely slow．The time complexity is high．According to concepts of appro-ximate layer and intensity layer,a improved bilateral filtering was proposed．This improved algorithm uses identification and pixel layer to realize Bilateral Filtering．This improved algorithm is called identification Bilateral Filtering(IBF)．At first,the pixel layer with gray D-value was specified,then identification point in pixel layer was choosen,and the filtering value of every pixel layers with identification point was computed.At last,linear interpolation was used to compute filtering value of pixels and output filtered image．Gray image and color image were taken as research objects in experiment．Experiment results show that the IBF algorithm has short executing time and has a good filtering result．

Key words: Bilateral filtering,Pixel layer,Identification point,Euclidean distance