Name
Abstract | ||
|---|---|---|
In this paper we present an algorithm for the lossless compression of true color images. Our aim was to develop a practical algorithm with a fast decompression phase. The algorithm executes a block adaptive predictive filtering phase, followed by a color filtering phase that exploits color correlation, and finally compresses the prediction errors through context assignment and Huffman coding. Comparing the proposed algorithm with competing standards as Jpeg2000 and Jpeg-LS, we show how our method yields better compression ratios without having a slower decompression speed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-10210-3_18 | IWCIA |
Keywords | Field | DocType |
lossless compression,compression ratio,fast decompression phase,true color image,huffman coding,color correlation,lossless true color image,practical algorithm,slower decompression speed,proposed algorithm,block adaptive,huffman codes,color image,prediction error,data compression,run length encoding | Computer vision,Lossless JPEG,Data compression ratio,Lossy compression,Computer science,Color Cell Compression,Algorithm,JPEG,Artificial intelligence,Data compression,Image compression,Lossless compression | Conference |
Volume | ISSN | Citations |
6636 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Brocchi | 1 | 12 | 1.96 |
| Elena Barcucci | 2 | 306 | 59.66 |