Improved Quality Assessment of Multicamera Image
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
The quality of image can be observed in two ways- subjective as well as objective. An objective evaluation with multicamera image has been implemented. This paper gives detail of the techniques to implement quality parameter of multicamera images. The quality of the image is determined by using MSSIM, VIF, PSNR, and MIQM techniques. The PSNR, MSSIM and VIF are the commonly used image quality assessment techniques for single camera images, but MIQM techniques is a better alternative to the above mentioned techniques. With implemention of all techniques, multicamera images are observed and simulated. The two distortions in multicamera images mainly considered photometric distortion and geometric distortion. To generate the geometrically distorted images, the two images are combining with different overlap. Some images are simulated which are combination of both photometric distortion and geometric distortion. Finally quality of all simulated images is measured as the PSNR, MSSIM, VIF and MIQM techniques. Results of the Luminance-contrast index, Motion index and Texture index quality measure techniques were compared with implemented quality measure technique which is called MIQM.
Authors and Affiliations
Ashwini Bhore, S. R. Diwate
Keywords
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