Name
Abstract | ||
|---|---|---|
Progressive image transmission is a mechanism that transmits the most significant portion of an image, followed by its less important parts. Applications of such a mechanism include browsing large image files on the Internet. We propose an adaptive mechanism, based on the characteristics of images. The mechanism use neighbor pixels to guess a target pixel value, without actually transmitting the target pixel. An error correction scheme is also designed to cope with a failure guessing. The prototype is tested on 1500 bit-mapped pictures of different categories. Preliminary results should that the transmission rate is lower than others, with reasonable PSNR values of the transmitted images. Interested readers can find the prototype tool and our evaluations at http://www.mine.tku.edu.tw/demos/ProgTransmission. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICME.2003.1221573 | ICME |
Keywords | Field | DocType |
mechanism use neighbor pixel,bit-mapped picture,large image file,transmitted image,progressive image transmission,transmission rate,target pixel value,adaptive mechanism,adaptive interpolation,target pixel,prototype tool,psnr,interpolation,prototypes,testing,visual communication,image files,internet,error correction,pixel | Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Interpolation,Error detection and correction,Image file formats,Visual communication,Pixel,Artificial intelligence,Image scaling,The Internet | Conference |
ISBN | Citations | PageRank |
0-7803-7965-9 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. K. Shih | 1 | 102 | 10.79 |
| L. H. Lin | 2 | 0 | 0.34 |
| Jen-Shiun Chiang | 3 | 179 | 28.76 |