Name
Abstract | ||
|---|---|---|
The progressive nature of the JPEG2000 coded bitstream allows the reconstruction of images of different qualities from a single coded bitstream. This feature is utilized in this work to estimate the mean-squared-error (MSE) of reconstructed images without requiring the original image. It is based on the fact that if the MSE between the original image and a lower quality image is known, the MSE for higher quality images can be estimated from a quality scalable bitstream. The proposed method is highly accurate and is very simple as no complex statistical modeling is needed. Therefore, it is suitable to measure the fidelity of JPEG2000 decoded images at any desired quality in a real-time scenario. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1142/S0219467819500050 | INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS |
Keywords | Field | DocType |
Image quality assessment, PSNR, JPEG2000, real-time, reduced reference | Computer vision,Fidelity,Pattern recognition,Artificial intelligence,JPEG 2000,Bitstream,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 1 | 0219-4678 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Amir Baig | 1 | 0 | 0.34 |
| Athar Ali Moinuddin | 2 | 5 | 2.78 |
| E. Khan | 3 | 56 | 12.71 |