A skip-line with threshold algorithm for binary image compression

Binary images (Bi-level images; Bi-Color images, Two-tone images or Monochrome images) have been widely used in image processing, such as facsimile, letters, map archives, digital libraries, fingerprint databases, and those documents that could not be recognized by OCR. In order to reduce the storage space of binary images, there are many researchers attempted to propose more efficient algorithms for binary image compression. In general, they can be divided into two kinds of methods which are `lossless´ and `lossy´. In this research, we base on a lossy image compression method, to propose a compression Algorithm called “Skip-Line Encoding with Threshold” (SLETA). Our results of experiments show that SLETA not only achieve high compression ratio but also keep good recognizability: encoded images are not difficult to recognize after decompressions.