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An Efficient Rank-based Image Transformation Scheme using Entropy Coding in Gray-Level Images

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3 Author(s)
Eun-Choen Lim ; Sunchon Nat. Univ., Sunchon ; Choon-Bo Shim ; Kang Soo You

In this paper, we propose a rank-based image transformation scheme which is a pre-processing method for enabling more efficient compression of gray-level images by entropy encoder. For this, before we do entropy encoding on a stream of gray-level values in an image, the proposed method counts co-occurrence frequencies for neighboring pixel values. Then, it replaces each gray value with particularly ordered numbers based on the co-occurrence frequencies. Finally, the ordered number are transmitted to an entropy encoder. The pre-processing step enhances the statistical characteristic of the image transformation and thus improves the performance of entropy coding considerably. The result from our simulation using 8 bits gray-scale images shows that the proposed method can reduce bit rate by up to 37.85% compared with existing plain entropy coders.

Published in:

Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on

Date of Conference:

20-22 Aug. 2007