| 1 |
Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes
Sklenicka P, Zouhar J
Applied Energy, 209, 445, 2018 |
| 2 |
Effect of Texture on Color Variation in Inkjet-Printed Woven Textiles
Bae JH, Hong KH, Lamar TM
Color Research and Application, 40(3), 297, 2015 |
| 3 |
Does hue affect the perception of grayness?
Shamey R, Sawatwarakul W, Fu S
Color Research and Application, 40(4), 374, 2015 |
| 4 |
Evaluation of Performance of Various Color-Difference Formulae Using an Experimental Black Dataset
Shamey R, Lin J, Sawatwarakul W, Cao RB
Color Research and Application, 39(6), 589, 2014 |
| 5 |
Visual preferences for wind turbines: Location, numbers and respondent characteristics
Molnarova K, Sklenicka P, Stiborek J, Svobodova K, Salek M, Brabec E
Applied Energy, 92, 269, 2012 |
| 6 |
Color tolerance prediction for recycled paper based on consumers' awareness
Jung HJ, Suk HJ, Kitaguchi S, Sato T, Kajiwara K
Color Research and Application, 37(4), 272, 2012 |
| 7 |
Development of a Comprehensive Visual Dataset Based on a CIE Blue Color Center: Assessment of Color Difference Formulae Using Various Statistical Methods
Lee SG, Shamey R, Hinks D, Jasper W
Color Research and Application, 36(1), 27, 2011 |
| 8 |
Determination of Dyeing Levelness Using Surface Irregularity Function
Gunay M
Color Research and Application, 34(4), 285, 2009 |
| 9 |
Visual assessment of off-shore wind turbines: The influence of distance, contrast, movement and social variables
Bishop ID, Miller DR
Renewable Energy, 32(5), 814, 2007 |
| 10 |
Evaluation of the quality of different D65 simulators for visual assessment
Lam YM, Xin JH
Color Research and Application, 27(4), 243, 2002 |
