Abstract: An efficient storage and transmission is a great challenge in digital imaging, since it requires large number of bits to represent an image. Image compression reduces the number of bits needed to represent an image. Lossless compression techniques are used in applications which cannot tolerate any difference between the original and compressed image. Binary image is used in many digital imaging applications such as document imaging, finger print databases and geographical information systems. This paper is a study of various lossless image compression techniques. A comparison of performance of different lossless compression algorithm is also made.

Keywords: Huffman Coding, Run length Coding, Arithmetic Coding, Lempel-Ziv-Welch Coding.