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http://dx.doi.org/10.5909/JBE.2019.24.5.775

Local Differential Pixel Assessment Method for Image Stitching  

Rhee, Seongbae (Department of Electronic Engineering, KyungHee University)
Kang, Jeonho (Department of Electronic Engineering, KyungHee University)
Kim, Kyuheon (Department of Electronic Engineering, KyungHee University)
Publication Information
Journal of Broadcast Engineering / v.24, no.5, 2019 , pp. 775-784 More about this Journal
Abstract
Image stitching is a technique for solving the problem of narrow field of view of a camera by composing multiple images. Recently, as the use of content such as Panorama, Super Resolution, and 360 VR increases, the need for faster and more accurate image stitching technology is increasing. So far, many algorithms have been proposed to satisfy the required performance, but the objective evaluation method for measuring the accuracy has not been standardized. In this paper, we present the problems of PSNR and SSIM(Structural similarity index method) measurement methods and propose a Local Differential Pixel Mean method. The LDPM evaluation method that includes geometric similarity and brightness measurement information is proved through a test, and the advantages of the evaluation method are revealed through comparison with SSIM.
Keywords
Image Stitching; Assessment Method; PSNR; SSIM; LDPM;
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