Does Color Influence Image Complexity Perception?

被引:17
作者
Ciocca, Gianluigi [1 ,3 ]
Corchs, Silvia [1 ,3 ]
Gasparini, Francesca [1 ,3 ]
Bricolo, Emanuela [2 ,3 ]
Tebano, Riccardo [2 ]
机构
[1] Univ Milano Bicocca, Dipartimento Informat Sistemist & Comunicaz, I-20126 Milan, Italy
[2] Univ Milano Bicocca, Dept Psychol, I-20126 Milan, Italy
[3] NeuroMi Milan Ctr Neurosci, Milan, Italy
来源
COMPUTATIONAL COLOR IMAGING, CCIW 2015 | 2015年 / 9016卷
关键词
Image complexity; Psycho-physical experiment; Color image features;
D O I
10.1007/978-3-319-15979-9_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we investigate if color influences the perception of image complexity. To this end we perform two different types of psycho-physical experiments on color and grayscale images. In the first experiment, images are ranked based on their complexity (image ranking), while in the second experiment the complexity of each image is assessed on a continuous scale (image scaling). Moreover, we investigate if ten image features, that measure colors as well as other spatial properties of the images, correlate with the collected subjective data. The performance of these correlations are evaluated in terms of Pearson correlation coefficients and Spearman rank-order correlation coefficients. We observe that for each type of experiment, subjective scores for color images are highly correlated with those of the corresponding grayscale versions suggesting that color is not a relevant attribute in evaluating image complexity. Moreover none of the tested simple image features seem to be adapt to predict the image complexity according to the human judgments.
引用
收藏
页码:139 / 148
页数:10
相关论文
共 26 条
[1]  
[Anonymous], LIVE IMAGE QUALITY A
[2]  
[Anonymous], 12 ANN OBJ PERC ATT
[3]  
Artese MT, 2014, ARCHIVING 2014, FINAL PROGRAM AND PROCEEDINGS, P213
[4]  
Bianco S., 2009, SPIE, V7242
[5]  
Birkhoff G.D., 1950, Collected Mathematical Papers, VII
[6]  
Cardaci M, 2006, LECT NOTES ARTIF INT, V3849, P305
[7]   Image complexity measure:: a human criterion free approach [J].
Chacón, MI ;
Corral, AD .
NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, 2005, :241-246
[8]   Complexity of images: experimental and computational estimates compared [J].
Chikhman, Valeriy ;
Bondarko, Valeriya ;
Danilova, Marina ;
Goluzina, Anna ;
Shelepin, Yuri .
PERCEPTION, 2012, 41 (06) :631-647
[9]   Mean shift: A robust approach toward feature space analysis [J].
Comaniciu, D ;
Meer, P .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (05) :603-619
[10]  
Corchs S., 2013, SPIE