Lossless Image Compression based on Predictive Coding and Bit Plane Slicing | Zendy

Haider Al-Mahmood | Zendy; Zainab Al-Rubaye | Zendy

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Lossless Image Compression based on Predictive Coding and Bit Plane Slicing

Author(s) -

Haider Al-Mahmood,

Zainab Al-Rubaye

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/16176-2068

Subject(s) - computer science , lossless compression , slicing , predictive coding , coding (social sciences) , image compression , compression (physics) , data compression , bit plane , artificial intelligence , computer vision , image (mathematics) , computer graphics (images) , image processing , mechanical engineering , drilling , statistics , mathematics , bit field , engineering , materials science , composite material

In this paper, a simple lossless image compression method based on a combination between bit-plane slicing and adaptive predictive coding is adopted for compressing natural and medical images. The idea basically utilized the spatial domain efficiently after discarding the lowest order bits namely, exploiting only the highest order bits in which the most significant bit corresponds to last layer7 used adaptive predictive coding, while the other layers used run length coding. The test results leads to high system performance in which higher compression ratio achieves for lossless system that characterized by guaranty fully reconstruction. General Terms Bit-plane slicing along with adaptive predictive coding for lossless image compression.

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