Name
Abstract | ||
|---|---|---|
We introduce a method to create lossy versions of one image, either by successively merging the constant regions of the original image, or by iteratively splitting the regions from a created lossy image using horizontal or vertical line segments. Merging and split decisions are greedily taken, according to the best slope towards next point in the rate-distortion curve. For each created lossy image, the region contours and the optimal depth values can be entropy coded in three ways: with a new algorithm, or with two existing lossless coding algorithms. The obtained results compare favorably with the existing lossy methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/LSP.2013.2280495 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
data compression,entropy codes,image coding,entropy code,greedy rate-distortion slope optimization,horizontal line segment,image constant region merging,image lossy version,iterative region splitting,lossless coding algorithm,lossy depth image compression,optimal depth values,rate-distortion curve,region contours,vertical line segment,Depth image,image coding,lossy depth compression,region merging,region splitting,sequence of lossy images | Line segment,Computer vision,Mathematical optimization,Lossy compression,Color Cell Compression,Artificial intelligence,Data compression,Fractal transform,Image compression,Mathematics,Lossless compression,Context-adaptive binary arithmetic coding | Journal |
Volume | Issue | ISSN |
20 | 11 | 1070-9908 |
Citations | PageRank | References |
9 | 0.55 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Schiopu | 1 | 37 | 8.04 |
| Ioan Tabus | 2 | 276 | 38.23 |