Browse > Article
http://dx.doi.org/10.7471/ikeee.2013.17.4.459

A Study on Frame Interpolation and Nonlinear Moving Vector Estimation Using GRNN  

Lee, Seung-Joo (Dept. of Electronics Engineering, Kookmin University)
Bang, Min-Suk (Dept. of Electronics Engineering, Kookmin University)
Yun, Kee-Bang (Dept. of Electronic Engineering, Incheon National University)
Kim, Ki-Doo (Dept. of Electronics Engineering, Kookmin University)
Publication Information
Journal of IKEEE / v.17, no.4, 2013 , pp. 459-468 More about this Journal
Abstract
Under nonlinear characteristics of frames, we propose the frame interpolation using GRNN to enhance the visual picture quality. By full search with block size of 128x128~1x1 to reduce blocky artifact and image overlay, we select the frame having block of minimum error and re-estimate the nonlinear moving vector using GRNN. We compare our scheme with forward(backward) motion compensation, bidirectional motion compensation when the object movement is large or the object image includes zoom-in and zoom-out or camera focus has changed. Experimental results show that the proposed method provides better performance in subjective image quality compared to conventional MCFI methods.
Keywords
Frame interpolation; GRNN; Training; MCFI; Non-linear motion vector estimation;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Hyeong-chul Oh, Joo-hyun Lee, Chang-ki Min, and Je-chang Jeong, "Adaptive Frame Rate Up-Conversion Algorithm using the Neighbouring Pixel Information and Bilateral Motion Estimation," The Journal of Korea Information and Communications Society, Vol. 35, No. 9, pp. 761-770, 2010.   과학기술학회마을
2 J.H. Park, "A Study on the Frame Rate Conversion Using the Shape Based Motion Estimation and the Edge Direction Information" PhD Thesis, Chonnam National University, February 2011.
3 G. Dane and T. Q. Nguyen, "Optimal Temporal Interpolation Filter for Motion-compensated Frame Rate Up Conversion," IEEE Transactions on Image Processing, Vol. 15, No. 4, pp. 978-991, April 2006.   DOI   ScienceOn
4 Seung-hyun Choi and Seong-won Lee, "Frame Interpolation using Dominant MV," Journal of the Institute of Electronics Engineers of Korea, Vol. 46, No. 6, pp. 123-131, November 2009.   과학기술학회마을
5 Jin-soo Kim, "Frame-Adaptive Distortion Estimation for Motion Compensated Interpolated Frame," Journal of the Korea Contents Association, Vol. 12, No. 3, pp. 1-8, March 2012.   과학기술학회마을   DOI   ScienceOn
6 Hyeong-chul Oh, "Efficient frame rate up-conversion algorithm using adaptive threshold and motionre-estimation," MS Thesis, Hanyang University, February 2011.
7 Min-kyu Lee and Hyun-wook Park, "Frame Interpolation using Bilateral Motion Refinement with Rotation," Journal of the Institute of Electronics Engineers of Korea, Vol. 46, No. 5, pp. 135-142, September 2009.   과학기술학회마을
8 K. A. Bugwadia, E. D. Petajan, and N. N. Puri, "Progressive-scan Rate up-conversion of 24/30 Source Materials for HDTV," IEEE Transactions on Consumer Electronics, Vol. 42, No. 3, pp. 312-321, August 1996.   DOI   ScienceOn
9 Iain E. Richardson, H.264 and MPEG-4 Video Compression, John Wiley & Sons Inc., 2003.
10 Young-oh Han, "A study on motion prediction and subband coding of moving pictures using GRNN," Journal of the Korea Institute of Electronic Communication Sciences, Vol. 5, No. 3, pp. 256-261, June 2010.
11 D. Tomandl and A. Schober, "A Modified General Regression Neural Network with New Efficient Training Algorithms as a Robust 'black box'-Tool for Data Analysis," Elsevier Neural Network., Vol. 14, No. 8, pp. 1023-1034, 2001.   DOI   ScienceOn
12 C. Li and A. C. Bobik, "Blind Image Quality Assessment Using a General Regression Neural Network," IEEE Transactions on Neural Network, Vol. 22, No. 5, pp. 793-799, 2011.   DOI   ScienceOn
13 Ji-yoon Park and Chang-woo Lee, "Efficient Motion Vector Correction Method m Motion Compensated Interpolation Technique Using Bilateral Motion Estimation," The Journal of Korea Information and Communications Society, Vol. 34, No. 7, pp. 687-696, July 2009.   과학기술학회마을