The present paper discusses the implementation of BWCA in lossless image compression. BWCA uses burrows wheelr transform (BWT) as its main transform. as one of combinatorial compression algorithm which in particular reordered symbols according to their following context, it becomes one of promising approach in context modeling compression. BWT was initially created for text compression, and here we study the impact of BWCA method and its improvement when applied to image compression. since this application is quite different from the original method aim, we anlyze the pre and post-processing influences of BWT.