Stereoscopic visualization of scientific and medical content

William, Albert; Bailey, Darrell L

doi:10.1145/1179295.1179322

Cited by 11 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, the wave of 3D has not been limited to the entertainment industry. Given the development of greatly improved acquisition and display technologies, S3D images and videos can provide natural and versatile visual presentations for numerous applications, including robot navigation [34], remote education [35], anatomical exploration [36], therapeutic treatment [37], and so forth. As these large volumes of S3D data are making their way to consumers and other users, a variety of issues have arisen regarding efficient compression and reliable transmission of S3D content, especially when being transmitted over already-stressed wireless networks.…”

Section: Previous Work On S3d Iqamentioning

confidence: 99%

Oriented Correlation Models of Distorted Natural Images With Application to Natural Stereopair Quality Evaluation

Cormack

Bovik

2015

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

In recent years, bandpass statistical models of natural, photographic images of the world have been used with great success to solve highly diverse problems involving image representation, image repair, image quality assessment (IQA), and image compression. One missing element has been a reliable and generic model of spatial image correlation that reflects the distributions of oriented and relatively oriented spatial structures. We have developed such a model for bandpass pristine images and have generalized it here to also capture the spatial correlation structure of bandpass distorted images. The model applies well to both luminance and depth images. As a demonstration of the usefulness of the generalized model, we develop a new no-reference stereoscopic/3D IQA framework, dubbed stereoscopic/3D blind image naturalness quality index, which utilizes both univariate and generalized bivariate natural scene statistics (NSS) models. We first validate the robustness and effectiveness of these novel bivariate and correlation NSS features extracted from distorted stereopairs, then demonstrate that they are predictive of distortion severity. Our experimental results show that the resulting 3D image quality predictor based in part on the new model outperforms state-of-the-art full- and no-reference 3D IQA algorithms on both symmetrically and asymmetrically distorted stereoscopic image pairs.

show abstract

Section: Previous Work On S3d Iqamentioning

confidence: 99%

Oriented Correlation Models of Distorted Natural Images With Application to Natural Stereopair Quality Evaluation

Cormack

Bovik

2015

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

show abstract

“…Applications are numerous. They range from entertainment (videos, games) to more specialized applications such as the educational ones [5] and medical applications like body exploration [6,7], therapeutic purposes [8], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Quality Assessment of Stereoscopic Images

Benoît¹,

Callet²,

Campisi³

et al. 2008

EURASIP Journal on Image and Video Processing

286

159

View full text Add to dashboard Cite

Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to quality assessment of stereoscopic images. Therefore, in this paper, we review the different issues related to 3D visualization, and we propose a quality metric for the assessment of stereopairs using the fusion of 2D quality metrics and of the depth information. The proposed metric is evaluated using the SAMVIQ methodology for subjective assessment. Specifically, distortions deriving from coding are taken into account and the quality degradation of the stereopair is estimated by means of subjective tests.

show abstract

“…Nowadays, three-dimensional (3D) stereo media is becoming immersive media to increase visual experience as natural in various applications ranging from entertainment [1] to more specialized applications such as remote education [2], robot navigation [3], medical applications like body exploration [4], and therapeutic purposes [5]. There are many alternative technologies for 3D image/video display and communication, including holographic, volumetric, and stereoscopic; stereoscopic image/video seems to be the most developed technology at the present [6].…”

Section: Introductionmentioning

confidence: 99%

Objective No-Reference Stereoscopic Image Quality Prediction Based on 2D Image Features and Relative Disparity

Sazzad

Akhter

Baltes

et al. 2012

Advances in Multimedia

View full text Add to dashboard Cite

Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imaging and communication system. In this paper, we propose an image feature and disparity dependent quality evaluation metric, which incorporates human visible system characteristics. We believe perceived distortions and disparity of any stereoscopic image are strongly dependent on local features, such as edge (i.e., nonplane areas of an image) and nonedge (i.e., plane areas of an image) areas within the image. Therefore, a no-reference perceptual quality assessment method is developed for JPEG coded stereoscopic images based on segmented local features of distortions and disparity. Local feature information such as edge and non-edge area based relative disparity estimation, as well as the blockiness and the edge distortion within the block of images are evaluated in this method. Subjective stereo image database is used for evaluation of the metric. The subjective experiment results indicate that our metric has sufficient prediction performance.

show abstract

Stereoscopic visualization of scientific and medical content

Cited by 11 publications

References 0 publications

Oriented Correlation Models of Distorted Natural Images With Application to Natural Stereopair Quality Evaluation

Oriented Correlation Models of Distorted Natural Images With Application to Natural Stereopair Quality Evaluation

Quality Assessment of Stereoscopic Images

Objective No-Reference Stereoscopic Image Quality Prediction Based on 2D Image Features and Relative Disparity

Contact Info

Product

Resources

About