Browse > Article
http://dx.doi.org/10.5573/ieie.2016.53.10.084

CUDA Acceleration of Super-Resolution Algorithm Using ELBP Classifier for Fisheye Images  

Choi, Ji Hoon (Department of Electronic Engineering, Inha University)
Song, Byung Cheol (Department of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.10, 2016 , pp. 84-91 More about this Journal
Abstract
Most recently, the technology of around view monitoring(AVM) system or the security systems could provide users with images by using a fisheye lens. The filmed images through fisheye lens have an advantage of providing a wider range of scenes. On the other hand, filming through fisheye lens also has disadvantages of distorting images. Especially, it causes the sharpness of images to degrade because the edge of images is out of focus. The influence of a blur still remains at the end of the range when the super-resolution techniques is applied in order to enhance the sharpness. It degrades the clarity of high resolution images and occurs artifacts, which leads to deterioration in the performance of super-resolution algorithm. Therefore, in this paper we propose self-similarity-based pre-processing method to improve the sharpness at the edge. Additionally, we implement the acceleration in the GPU environment of entire algorithm and verify the acceleration.
Keywords
fisheye images; super-resolution; ELBP classifier; sharpness enhancement; GPU acceleration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. B. Kirk and W. W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Morgan Kaufmann, 2010, ISBN 978-0-12-381472-2.
2 R. Ferzli and L. J. Karam, "A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur(JNB)," IEEE Transactions on Image Processing, vol. 18, no. 4, Apr. 2009.
3 S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and Robust Multiframe Super Resolution," IEEE Transactions on Image Processing, vol. 13, no. 10, Oct. 2004.
4 E. Faramarzi, D. Rajan, F. C. A. Fernandes, and M. P. Christensen, "Blind Super Resolution of Real-Life Video Sequences," IEEE Transactions on Image Processing, vol. 25, no. 4, Apr. 2016.
5 Dong Yoon Choi and Byung Cheol Song, "Fast Super-Resolution Algorithm using ELBP Classifier," IEEE VCIP2015, Singapore, Dec. 2015.
6 G. Freedman and R. Fattal, "Image and video upscailng from local self-examples," ACM Transactions on Graphics, vol. 30, no. 2, Apr. 2011.
7 R. C. Gonzalez and R. E. Woods, "Digital Image Processing 3rd Edition," Pearson Education, pp. 736-739.
8 G. Papari, N. Petkov, and P. Campisi, "Artistic Edge and Corner Enhancing Smoothing", IEEE Transactions on Image Processing, vol. 16, no. 10, Oct. 2007.
9 J. Sanders and E. Kandrot, CUDA by Example: An Introduction to General-Purpose GPU programming. Addison-Wesley, July 2010. ISBN 978-0-13-138768-3.