Name
Abstract | ||
|---|---|---|
This paper describes the development of an image colour- quality model based on individual physical image statistical measures for mobile liquid crystal displays (LCD). Five natural images were colour-rendered in terms of lightness, chroma and hue. Each of the images was displayed on a 2-inch QVGA mobile LCD and assessed by a panel of 10 observers in terms of image quality using a categorical judgment method. Only colour attribute modeling was carried out in this paper. Image statistical measures were established to quantify the image quality of natural colour images varying in colour. Those were memory colour reproduction ratio (MCRR), mean chroma and 95th percentile lightness. The Pearson correlation between the model predictions and their corresponding psychophysical data was 0.88 and the coefficient of variance was 18. The model outperformed observer accuracy in terms of those two measures. It is also significant that the subjective scale of image quality was bridged with objective metrics such as the image statistical measures. |
Year | Venue | Field |
|---|---|---|
2006 | Color Imaging Conference | Computer vision,Pearson product-moment correlation coefficient,Computer science,Naturalness,Hue,Image quality,Mean opinion score,Color depth,Artificial intelligence,Lightness,Rendering (computer graphics) |
DocType | Citations | PageRank |
Conference | 1 | 0.39 |
References | Authors | |
3 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youn Jin Kim | 1 | 8 | 3.57 |
| Jangjin Yoo | 2 | 1 | 0.39 |
| M. Ronnier Luo | 3 | 150 | 46.35 |
| Peter Rhodes | 4 | 1 | 0.39 |
| V. Cheung | 5 | 1 | 3.43 |
| Stephen Westland | 6 | 13 | 10.54 |
| Wonhee Choe | 7 | 17 | 7.99 |
| SeongDeok Lee | 8 | 20 | 10.99 |
| Chang-Yeong Kim | 9 | 158 | 29.48 |