Result: Perceptual Quality Improvement of Stereoscopic Images
Title:
Perceptual Quality Improvement of Stereoscopic Images
Authors:
Source:
IPCV : proceedings of the 2011 international conference on image processing, computer vision, & pattern recognition (Las Vegas NV, July 18-21, 2011). :278-282
Publisher Information:
[S.l.]: CSREA Press, 2011.
Publication Year:
2011
Physical Description:
print, 7 ref
Original Material:
INIST-CNRS
Subject Terms:
Imagery, Imagerie fontionnelle et interventionnelle, Computer science, Informatique, Metrology and instrumentation, Métrologie et instrumentation, Optics, Optique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Psychologie du travail, Occupational psychology, Ergonomie. Facteur humain, Ergonomics. Human factors, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Evaluation subjective, Subjective evaluation, Evaluación subjetiva, Facteur humain, Human factor, Factor humano, Image tridimensionnelle, Tridimensional image, Imagen tridimensional, Profondeur champ, Depth of field, Profundidad campo, Qualité image, Image quality, Calidad imagen, Saturation, Saturación, Stéréoscopie, Stereoscopy, Estereoscopia
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Computer and Communications Engineering Kangwon National University, Chunchon 200-701, Korea, Republic of
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Psychology. Ethology
FRANCIS
Psychology. Ethology
FRANCIS
Accession Number:
edscal.26133700
Database:
PASCAL Archive
Further Information
In general, 3D scene depth is affected by intensity and saturation difference according to human factor. Utilizing this information, we propose a novel method to improve 3D perceived depth of stereoscopic images. By varying the RGB colors especially at adjacent areas of an edge pixel, the depth perception is expected to be enhanced. For this, two methods for intensity transformation and one for saturation processing are presented. Experiments performed on various stereoscopic images validate that the proposed methods deliver more enhanced 3D depth based on subjective test.