Lossless Image Compression using Binary Field Transform A.Asmari

In this paper, we have described the theory of binary wavelet decomposition as applied to the compression of binary images. It has been shown that this is similar to other transforms like the real field transforms. Applying real field transforms for binary images results in increased complexity, and so we have used a transform called the Binary Field Transform. By using this transform, the computation is considerably reduced, since computation in the binary field involves only modulo-2 operations. We have developed a filter with 8 taps with decimation factor of 4 to decompose the binary images into their constituent subbands. These subbands are losslessly compressed. The performance of this coding technique is found to be better than JBIG with an overall increase in performance by about sixteen percent.