The redundancy in digital image representation can be classified into two categories: local and global. In this paper, we propose a new lossless binary image compression processing scheme which increases local redundancy for more compression efficiency. The algorithm consists of reordering rows and columns of image data for assembling data that has a same value: '0' or '1', merging the data to reduce redundancy, encoding data to bitstream, then the encoded data will be compressed by other image compression algorithms. The experimental results confirm our technique performs better than other existing techniques.
['Suphakant Phimoltares', 'Kosin Chamnongthai', 'Chidchanok Lursinsap']
Hybrid binary image compression