Name
Title | ||
|---|---|---|
Low bit-rate image compression via adaptive down-sampling and constrained least squares upconversion. |
Abstract | ||
|---|---|---|
Recently, many researchers started to challenge a long-standing practice of digital photography: oversampling followed by compression and pursuing more intelligent sparse sampling techniques. In this paper, we propose a practical approach of uniform down sampling in image space and yet making the sampling adaptive by spatially varying, directional low-pass prefiltering. The resulting down-sampled prefiltered image remains a conventional square sample grid, and, thus, it can be compressed and transmitted without any change to current image coding standards and systems. The decoder first decompresses the low-resolution image and then upconverts it to the original resolution in a constrained least squares restoration process, using a 2-D piecewise autoregressive model and the knowledge of directional low-pass prefiltering. The proposed compression approach of collaborative adaptive down-sampling and upconversion (CADU) outperforms JPEG 2000 in PSNR measure at low to medium bit rates and achieves superior visual quality, as well. The superior low bit-rate performance of the CADU approach seems to suggest that oversampling not only wastes hardware resources and energy, and it could be counterproductive to image quality given a tight bit budget. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TIP.2008.2010638 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
image quality,proposed compression approach,practical approach,squares upconversion,sampling adaptive,low bit-rate image compression,current image,down-sampled prefiltered image,adaptive down-sampling,cadu approach,directional low-pass,low-resolution image,image space,image restoration,low pass filters,data compression,collaboration,digital photography,sampling technique,image compression,sampling,decoding,transform coding,visualization,wireless communication,spatial resolution,hardware,decoder,image resolution,low pass,least squares analysis,algorithms,autoregressive model,low resolution | Computer vision,Oversampling,Computer science,Transform coding,Image processing,Image quality,Artificial intelligence,JPEG 2000,Image restoration,Data compression,Image compression | Journal |
Volume | Issue | ISSN |
18 | 3 | 1057-7149 |
Citations | PageRank | References |
43 | 1.78 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaolin Wu | 1 | 3672 | 286.80 |
| Xiangjun Zhang | 2 | 341 | 14.82 |
| Xiaohan Wang | 3 | 162 | 13.81 |