CFP last date
20 May 2024
Reseach Article

High- Resolution Video Scaling using Cubic-B-Spline Approach

by T.Narsimulu, B.Rama Raj, Ch.Rajitha Laxmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 3
Year of Publication: 2011
Authors: T.Narsimulu, B.Rama Raj, Ch.Rajitha Laxmi
10.5120/2203-2797

T.Narsimulu, B.Rama Raj, Ch.Rajitha Laxmi . High- Resolution Video Scaling using Cubic-B-Spline Approach. International Journal of Computer Applications. 17, 3 ( March 2011), 8-16. DOI=10.5120/2203-2797

@article{ 10.5120/2203-2797,
author = { T.Narsimulu, B.Rama Raj, Ch.Rajitha Laxmi },
title = { High- Resolution Video Scaling using Cubic-B-Spline Approach },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 3 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 8-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number3/2203-2797/ },
doi = { 10.5120/2203-2797 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:38.798943+05:30
%A T.Narsimulu
%A B.Rama Raj
%A Ch.Rajitha Laxmi
%T High- Resolution Video Scaling using Cubic-B-Spline Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 3
%P 8-16
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data coding have emerged in different directions. Various real time applications focused towards the improvement of data codings for efficient and accurate usage of available resources. In such application where resources are constrained, data coding systems are facing the limitation of processing speed and accuracy. Applications where speed of computation for transferring is more important, accuracy is neglected or vice versa. In such systems efficiency could be improved with a low computation, lower dimension coding techniques with higher accuracy. One such application where these effects are predominantly been observed is “video coding”. Video coding has limitations of large data processing resulting in slower or low accurate systems. To improve the performance of such systems various approaches were made. These approaches are limited when spatial resolution variation, were dominantly observed. It is observed in past literatures that lower dimensional image representation could reduces the resource requirement, but are found limited with accuracy when displayed in real time. To achieve higher accuracy in displaying high-resolution projection, various approaches using video scaling methods were seen. These projection methods were found to be more accurate in displaying, when processed in frequency representation. To transform an input data from time representation to frequency representation, conventional Fourier transformation technique were used. Fourier transformations are limited in representations and interpolation for high resolution varying video sequences. Additionally this approach is not effective much in interpolation of video sequence when represented in a low dimensional representation. In this work a focus is made to improve the accuracy from low representing video sequence to high-scaled video output using advance interpolation technique called ”Cubic-B-Spline” approach. The suggested method is developed on MATLAB tool with image and video processing toolboxes to implement and evaluate the suggested method for system accuracy and efficiency.

References
  1. S. E. Reichenbach and F. Geng, “Two- dimensional cubic convolution,” IEEE Trans. Image Processing, vol. 12, No.8, pp. 857-865, August 2003.
  2. M. Unser, A. Aldroubi, and M. Eden, “B-spline signal processing: Part II - Efficient design and applications,” IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 834-848, Feb. 2003.
  3. S. P. Kim, N. K. Bose, and H. M. Valenzuela, “Recursive reconstruction of high resolution video from noisy under sampled multiframes”, IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 1013-1027, June 1990.
  4. S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, “Fast and robust multiframe High resolution”, IEEE Trans. Video Processing, vol. 13, pp. 1327-1344, Oct. 2004.
  5. X. Li and M. T. Orchard, “New edge-directed interpolation”, IEEE Trans. Video Proc., vol. 10, pp. 1521-1527, Oct. 2001.
  6. H. A. Aly and E. Dubois, “Specification of the observation model for regularized video up-sampling,” IEEE Trans. Video Processing, vol. 14, pp. 567-576, May 2005.
  7. R. S. Prendergast and T. Q. Nguyen, “Spectral modelling and Fourier domain recovery of high-resolution videos from jointly under sampled video sets”, under review for IEEE Trans. Video Proc., submitted Dec. 18, 2006.
  8. K. S. Ni and T. Q. Nguyen,“Video High resolution using support vector regression”, IEEE Trans. Video Proc., vol. 16, pp. 1596- 1610, June 2007.
  9. S. C. Park, M. K. Park, and M. G. Kang, “High-resolution video reconstruction: a technical overview”, IEEE Signal Processing Mag., vol. 20, pp. 21-36, May 2003.
  10. B. Narayanan, R. C. Hardie, K. E. Barner, and M. Shao, “A computationally efficient High-resolution algorithm for video processing using partition filters,” IEEE Trans. on Circ. Syst. For Video Technology, vol. 17, no. 5, pp. 621-634, May 2007.
  11. S. Farsiu, M. Elad, and P. Milanfar, “Video-to-video dynamic High resolution for grayscale and color sequences,” EURASIP Journal of Applied Signal Processing, Special Issue on High resolution Imaging, vol. 2006, pp. 1–15, 2006.
  12. R. C. Hardie, “A fast video High-resolution algorithm using an adaptive Wiener filter,” IEEE Trans. Video Proc., vol. 16, no. 12, pp. 2953-2964, Dec. 2007.
  13. H. S. Hou and H. C. Andrews,“Cubic spline for image interpolation and digital filtering,” IEEE Trans. Acoustics Speech Signal Processing, vol. ASSP-26, pp. 508–517, Dec. 1978.
  14. M. Unser, A. Aldroubi, and M. Eden, “B-spline signal processing: Part I - Theory,” IEEE Transactions on Signal Processing, vol. 41, no. 2, pp. 821-833, Feb. 1993.
  15. L. J. Wang, W. S. Hsieh, T. K. Truong, “A fast computation of 2D cubic-spline interpolation,” IEEE Signal Processing Letters, vol.11, no.9, pp.768-771, Sept. 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Video Scaling Cubic-B-Spline Video coding