Name
Abstract | ||
|---|---|---|
In this paper, we introduce a rank-based image transformation which is pre-processing method for gray-level images to be compressed more efficiently by entropy encoder. Before entropy encoding a stream of gray-level values in an image, the proposed method counts co-occurrence frequencies for neighboring pixel values. Then, it replaces each pairs of adjacent gray values with particular ordered number based on the investigated co-occurrence frequencies. Finally, the method transmits the adjusted data which has ordered number to entropy encoder. Because statistical characteristic is more enhanced by this preprocessing step, it is possible to improve performance of entropy coding. From the simulation result using 8 bits gray-scale images, it is verified that the proposed method can reduce bit rate by up to 37.85% than plain entropy coders. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIS.2005.106 | ACIS-ICIS |
Keywords | Field | DocType |
ordered number,statistical characteristic,image coding,gray-level image,gray-level value,data compression,entropy encoder,bits gray-scale image,adjacent gray value,entropy coding efficiently,gray-level image preprocessing,co-occurrence frequency,plain entropy coders,rank-based image transformation,neighboring pixel value,entropy codes,entropy coding,cooccurrence frequency,image compression,pixel,digital images,gray scale,frequency | Sample entropy,Entropy encoding,Pattern recognition,Computer science,Encoder,Artificial intelligence,Data compression,Entropy (information theory),Image compression,Grayscale,Arithmetic coding | Conference |
ISBN | Citations | PageRank |
0-7695-2296-3 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deuk-Su Han | 1 | 0 | 0.34 |
| Myung-Jae Lee | 2 | 3 | 1.89 |
| Kang-soo You | 3 | 0 | 1.69 |
| Euee S. Jang | 4 | 40 | 15.77 |
| Hoonsung Kwak | 5 | 1 | 3.41 |