Name
Abstract | ||
|---|---|---|
This paper describes a new measure for calculating the error that has been introduced when an image is modified which can be used to compare the quality of images. It is based on the following principle: The quality of an image should be measured locally and globally. This implies that: (1) Since the change of each pixel value affects the quality of the image, and the overall quality is dependent on the total number of pixels that were changed, the total number of pixels that were changed should hence be used in evaluating the quality of the image. (2) The change of each pixel value first affects the quality of a small part of the image that directly contains the pixel, and the change of that part of the image affects the quality of the whole image. This suggests that image quality should be evaluated part by part rather than pixel by pixel. Experimental results show that this proposed measure performs better than the signal-to-noise ratio and colour-based methods. It not only works well when the other two methods work but also works where the other two methods fail. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1145/330560.330911 | SAC |
Keywords | Field | DocType |
multimedia,image quality,image quality measure,image compression,signal to noise ratio | Computer vision,Computer science,Image quality,Image processing,Image noise,Artificial intelligence,Digital image processing,Image compression | Conference |
ISBN | Citations | PageRank |
0-89791-969-6 | 0 | 0.34 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phu Dung Le | 1 | 161 | 24.04 |
| Bala Srinivasan | 2 | 1076 | 191.20 |
| Mohammed Salahadin | 3 | 0 | 0.34 |
| Kulkarni Santosh | 4 | 0 | 0.34 |
| Campbell Wilson | 5 | 23 | 6.62 |