How does image noise affect actual and predicted human gaze allocation in assessing image quality?
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[1] Vision Research , 1961, Nature.
[2] D. S. Wooding,et al. Automatic control of saccadic eye movements made in visual inspection of briefly presented 2-D images. , 1995, Spatial vision.
[3] D. S. Wooding,et al. The relationship between the locations of spatial features and those of fixations made during visual examination of briefly presented images. , 1996, Spatial vision.
[4] P M van Diepen,et al. Scene Exploration with Fourier-Filtered Peripheral Information , 1998, Perception.
[5] P Reinagel,et al. Natural scene statistics at the centre of gaze. , 1999, Network.
[6] G. Hauske,et al. Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics. , 2000, Spatial vision.
[7] C. Koch,et al. A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.
[8] M. Pomplun,et al. Peripheral and parafoveal cueing and masking effects on saccadic selectivity in a gaze-contingent window paradigm , 2001, Vision Research.
[9] Lester C. Loschky,et al. Saliency of peripheral targets in gaze-contingent multiresolutional displays , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[10] Lester C. Loschky,et al. Investigating spatial vision and dynamic attentional selection using a gaze-contingent multiresolutional display. , 2002 .
[11] Lester C. Loschky,et al. Investigating spatial vision and dynamic attentional selection using a gaze-contingent multiresolutional display. , 2002, Journal of experimental psychology. Applied.
[12] Derrick J. Parkhurst,et al. Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.
[13] G. d'Ydewalle,et al. Early peripheral and foveal processing in fixations during scene perception , 2003 .
[14] Derrick J. Parkhurst,et al. Scene content selected by active vision. , 2003, Spatial vision.
[15] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[16] L. Itti,et al. Modeling the influence of task on attention , 2005, Vision Research.
[17] Gustavo de Veciana,et al. An information fidelity criterion for image quality assessment using natural scene statistics , 2005, IEEE Transactions on Image Processing.
[18] M. Young,et al. Longer fixation duration while viewing face images , 2006, Experimental Brain Research.
[19] Iain D. Gilchrist,et al. Visual correlates of fixation selection: effects of scale and time , 2005, Vision Research.
[20] C. Koch,et al. The relation of phase noise and luminance contrast to overt attention in complex visual stimuli. , 2006, Journal of vision.
[21] D. Isaacowitz. Motivated Gaze , 2006 .
[22] Antonio Torralba,et al. Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. , 2006, Psychological review.
[23] Pietro Perona,et al. Graph-Based Visual Saliency , 2006, NIPS.
[24] J. Henderson. Regarding Scenes , 2007 .
[25] Benjamin W Tatler,et al. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. , 2007, Journal of vision.
[26] P. Perona,et al. Objects predict fixations better than early saliency. , 2008, Journal of vision.
[27] J. Henderson,et al. The influence of color on the perception of scene gist. , 2008, Journal of experimental psychology. Human perception and performance.
[28] Tim K Marks,et al. SUN: A Bayesian framework for saliency using natural statistics. , 2008, Journal of vision.
[29] P. König,et al. Effects of luminance contrast and its modifications on fixation behavior during free viewing of images from different categories , 2009, Vision Research.
[30] Antonio Torralba,et al. How many pixels make an image? , 2009, Visual Neuroscience.
[31] Frédo Durand,et al. Learning to predict where humans look , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[32] Matthew H Tong,et al. SUN: Top-down saliency using natural statistics , 2009, Visual cognition.
[33] L. Itti,et al. Quantifying center bias of observers in free viewing of dynamic natural scenes. , 2009, Journal of vision.
[34] Lihi Zelnik-Manor,et al. Context-aware saliency detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[35] Mark J. Huiskes,et al. DynTex: A comprehensive database of dynamic textures , 2010, Pattern Recognit. Lett..
[36] J. Henderson,et al. CRISP: a computational model of fixation durations in scene viewing. , 2010, Psychological review.
[37] Tim C Kietzmann,et al. Investigating task-dependent top-down effects on overt visual attention. , 2010, Journal of vision.
[38] Antje Nuthmann,et al. On the visual span during object search in real-world scenes , 2011 .
[39] A. Torralba,et al. Fixations on low-resolution images. , 2010, Journal of vision.
[40] D. Ballard,et al. Eye guidance in natural vision: reinterpreting salience. , 2011, Journal of vision.
[41] Christof Koch,et al. Learning a saliency map using fixated locations in natural scenes. , 2011, Journal of vision.
[42] Andrew B Watson,et al. Blur clarified: a review and synthesis of blur discrimination. , 2011, Journal of vision.
[43] Kun Guo,et al. Consistent left gaze bias in processing different facial cues , 2012, Psychological research.
[44] Víctor Leborán,et al. On the relationship between optical variability, visual saliency, and eye fixations: a computational approach. , 2012, Journal of vision.
[45] Stefan Winkler,et al. Analysis of Public Image and Video Databases for Quality Assessment , 2012, IEEE Journal of Selected Topics in Signal Processing.
[46] Antón García-Díaz,et al. Saliency from hierarchical adaptation through decorrelation and variance normalization , 2012, Image Vis. Comput..
[47] P. Cavanagh,et al. Different processing strategies underlie voluntary averaging in low and high noise. , 2012, Journal of vision.
[48] Frédo Durand,et al. A Benchmark of Computational Models of Saliency to Predict Human Fixations , 2012 .
[49] Aykut Erdem,et al. Visual saliency estimation by nonlinearly integrating features using region covariances. , 2013, Journal of vision.
[50] Ali Borji,et al. Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study , 2013, IEEE Transactions on Image Processing.
[51] Sophie Hall,et al. Facial Expression Training Optimises Viewing Strategy in Children and Adults , 2014, PloS one.