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An Assessment of Joint 3-D Image Quality Metrics over the Networking in IoT


Author(s):

Aryalakshmi. R , MBCCET Peermade-685531, Idukki, Kerala; Josmy George, MBCCET Peermade-685531, Idukki, Kerala

Keywords:

Networking in IoT, 3D Image Quality Metrics

Abstract:

It is accepted that image compression and transmission are essential in the image processing system and that errors occurred may introduce the degradation on the quality of the received image over the wireless transmission for intelligent Internet of things (IoT).Here am analyzing the various methods for the 3d image quality. Over the past years, we can observe an exponential increase in the demand for 3D image and video services. High-quality 3D movies can now be seen in thousands of new generation 3D theaters all around the world. Due to the advanced development of media compression, media representation, and the availability of larger and ever increasing bandwidth, in recent years there has been a great attraction to enhance the viewing experience of visual displays and communication systems as like as natural with the incorporation of multi view/3D (three-dimensional) imaging. Earlier studies have shown that the depth map represented as a gray scale video can be compressed more efficiently than the corresponding color video, using as little as 10% to 20% of the color bit rate while retaining good quality. These results were obtained by subjective testing as there were no established objective video quality metrics (VQM) for 3D video. Three dimensional televisions (3D-TV) are broadly considered the future of television broadcasting that would bring a more life-like and visually immersive home entertainment experience. This trend is accompanied with a surge in the number of 3D movies that are being recorded in a stereoscopic format. The technologies of intelligent IoT have been fast developing, and the received image quality at the intelligent terminal display equipment is particularly important.


Other Details:

Manuscript Id :IJSTEV3I5006
Published in :Volume : 3, Issue : 5
Publication Date: 01/12/2016
Page(s): 268-270
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