A New Method for Lossless Compression of Binary Images


Sadik T., Tanir D., Nuriyeva F.

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 16 - 17 September 2017 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/idap.2017.8090198
  • City: Malatya
  • Country: Turkey
  • Keywords: Image compression, image coding, binary images
  • Dokuz Eylül University Affiliated: Yes

Abstract

Nowadays, compression of binary image is vital due to enormous amount of images that are being processed and stored in a wide range of applications such as text, maps, fingerprint etc. In this study, we proposed a new method for lossless compression of binary images. The general principle of image compression algorithms is transforming binary digits into a new one that specifies the same information but with fewer digits. We compared our proposed method with Run-Length method which is one of lossless compression methods for binary images, and the compression results shown that our method is successful in lossless compression binary images.