Name
Title | ||
|---|---|---|
An Efficient Rank-based Image Transformation Scheme using Entropy Coding in Gray-Level Images |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SERA.2007.44 | SERA |
Keywords | Field | DocType |
statistical characteristic,image coding,efficient rank-based image,statistical analysis,compression,gray-level image,image transformation,rank-based image transformation scheme,entropy encoder,bits gray-scale image,transformation scheme,pre-processing method,co-occurrence frequency,plain entropy coders,rank-based image transformation,gray-level images,entropy coding,entropy encoding | Tunstall coding,Entropy encoding,Pattern recognition,Computer science,Context-adaptive variable-length coding,Encoder,Artificial intelligence,Arithmetic coding,Context-adaptive binary arithmetic coding,Variable-length code,Adaptive coding | Conference |
ISBN | Citations | PageRank |
0-7695-2867-8 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eun-Choen Lim | 1 | 0 | 0.34 |
| Choon-Bo Shim | 2 | 51 | 7.43 |
| Kang Soo You | 3 | 4 | 2.77 |