Studying the effect of optimizing image quality in salient regions at the expense of background content
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Judith Redi | Ingrid Heynderickx | Hantao Liu | Hani Alers | I. Heynderickx | H. Alers | Hantao Liu | J. Redi
[1] Alan C. Bovik,et al. A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms , 2006, IEEE Transactions on Image Processing.
[2] Ingrid Heynderickx,et al. A Simplified Human Vision Model Applied to a Blocking Artifact Metric , 2007, CAIP.
[3] Ingrid Heynderickx,et al. A Perceptually Relevant No-Reference Blockiness Metric Based on Local Image Characteristics , 2009, EURASIP J. Adv. Signal Process..
[4] Michael W. Marcellin,et al. JPEG2000 - image compression fundamentals, standards and practice , 2013, The Kluwer international series in engineering and computer science.
[5] Patrick Le Callet,et al. Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric , 2007, 2007 IEEE International Conference on Image Processing.
[6] Bernd Girod,et al. The Information Theoretical Significance of Spatial and Temporal Masking in Video Signals , 1989, Photonics West - Lasers and Applications in Science and Engineering.
[7] David S. Taubman,et al. High performance scalable image compression with EBCOT. , 2000, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[8] Stefan Winkler,et al. A no-reference perceptual blur metric , 2002, Proceedings. International Conference on Image Processing.
[9] Liming Zhang,et al. Image quality assessment with visual attention , 2008, 2008 19th International Conference on Pattern Recognition.
[10] R. SheikhH.,et al. No-reference quality assessment using natural scene statistics , 2005 .
[11] Ingrid Heynderickx,et al. Perceivable artifacts in compressed video and their relation to video quality , 2009, Signal Process. Image Commun..
[12] H.R. Wu,et al. A generalized block-edge impairment metric for video coding , 1997, IEEE Signal Processing Letters.
[13] Alan C. Bovik,et al. GAFFE: A Gaze-Attentive Fixation Finding Engine , 2008, IEEE Transactions on Image Processing.
[14] Alan C. Bovik,et al. Image information and visual quality , 2006, IEEE Trans. Image Process..
[15] Scott J. Daly,et al. Visible differences predictor: an algorithm for the assessment of image fidelity , 1992, Electronic Imaging.
[16] Junle Wang,et al. Quantifying the relationship between visual salience and visual importance , 2010, Electronic Imaging.
[17] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[18] C.-C. Jay Kuo,et al. Review of Postprocessing Techniques for Compression Artifact Removal , 1998, J. Vis. Commun. Image Represent..
[19] Michael Yuen,et al. A survey of hybrid MC/DPCM/DCT video coding distortions , 1998, Signal Process..
[20] L. Pratap Reddy,et al. Image Quality Assessment Complemented with Visual Regions of Interest , 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).
[21] Sanjit K. Mitra,et al. Perceptual contributions of blocky, blurry, and fuzzy impairments to overall annoyance , 2004, IS&T/SPIE Electronic Imaging.
[22] Lina J. Karam,et al. A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB) , 2009, IEEE Transactions on Image Processing.
[23] Ingrid Heynderickx,et al. Visual Attention in Objective Image Quality Assessment: Based on Eye-Tracking Data , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[24] Judith Redi,et al. Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality , 2010, IEEE Transactions on Circuits and Systems for Video Technology.
[25] Andrew Perkis,et al. No-reference JPEG-image quality assessment using GAP-RBF , 2007, Signal Process..
[26] Jeffrey Lubin,et al. The use of psychophysical data and models in the analysis of display system performance , 1993 .
[27] Sugato Chakravarty,et al. Methodology for the subjective assessment of the quality of television pictures , 1995 .
[28] Heng-Ming Tai,et al. Region of interest coding for image compression , 2002, The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002..
[29] Anastasis A. Sofokleous,et al. Review: H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia , 2005, Comput. J..
[30] Abdelhakim Saadane,et al. Blind Quality Metric using a Perceptual Importance Map for JPEG-20000 Compressed Images , 2006, 2006 International Conference on Image Processing.
[31] Iain E. G. Richardson,et al. H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .
[32] Andrew Perkis,et al. Attention modeling for video quality assessment: Balancing global quality and local quality , 2010, 2010 IEEE International Conference on Multimedia and Expo.
[33] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[34] R. J. Safranek,et al. A perceptually tuned sub-band image coder with image dependent quantization and post-quantization data compression , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[35] Nancy Millette,et al. How People Look at Pictures , 1935 .
[36] Sanjit K. Mitra,et al. Annoyance of individual artifacts in MPEG-2 compressed video and their relation to overall annoyance , 2005, IS&T/SPIE Electronic Imaging.
[37] Patrick Le Callet,et al. A coherent computational approach to model bottom-up visual attention , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Glen P. Abousleman,et al. A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling , 2008, 2008 15th IEEE International Conference on Image Processing.
[39] Jae Lim,et al. Reduction Of Blocking Effects In Image Coding , 1984 .
[40] Alan C. Bovik,et al. No-reference quality assessment using natural scene statistics: JPEG2000 , 2005, IEEE Transactions on Image Processing.
[41] K. van Zon,et al. Automated video chain optimization , 2001, ICCE 2001.
[42] L. Itti,et al. Quantifying center bias of observers in free viewing of dynamic natural scenes. , 2009, Journal of vision.
[43] Ingrid Heynderickx,et al. How Does Image Content Affect the Added Value of Visual Attention in Objective Image Quality Assessment? , 2013, IEEE Signal Processing Letters.
[44] Judith Redi,et al. Image quality and visual attention interactions: Towards a more reliable analysis in the saliency space , 2011, 2011 Third International Workshop on Quality of Multimedia Experience.
[45] Alan C. Bovik,et al. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.
[46] Ingrid Heynderickx,et al. A No-Reference Metric for Perceived Ringing Artifacts in Images , 2010, IEEE Transactions on Circuits and Systems for Video Technology.
[47] Alan C. Bovik,et al. Visual Importance Pooling for Image Quality Assessment , 2009, IEEE Journal of Selected Topics in Signal Processing.
[48] Mohammed Ghanbari,et al. Standard Codecs: Image Compression to Advanced Video Coding , 2003 .
[49] Touradj Ebrahimi,et al. Balancing Attended and Global Stimuli in Perceived Video Quality Assessment , 2011, IEEE Transactions on Multimedia.
[50] Jiebo Luo,et al. Artifact reduction in low bit rate DCT-based image compression , 1996, IEEE Trans. Image Process..
[51] James Hu,et al. DVQ: A digital video quality metric based on human vision , 2001 .
[52] Moncef Gabbouj,et al. Improving image quality assessment with modeling visual attention , 2010, 2010 2nd European Workshop on Visual Information Processing (EUVIP).
[53] M. Tinker. How People Look at Pictures. , 1936 .
[54] William A. Pearlman,et al. A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..
[55] Zhou Wang,et al. Blind measurement of blocking artifacts in images , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).