Abstract
This paper considers some issues to implement the scaler SoC. Because the size and power of SoC are constrained, the bit number to represent the coefficients of scaler kernel and LPF should be limited. In addition, the interpolation position should be located at the quantized phases. We analyze the effects of the various constraints in the performance of scaling system. The simulation results provide the guidance to implement the scaler SoC.
This work was supported in part by the Technology Innovation Program, Industrial Strategic Technology Development Program (Development of Super Resolution Image Scaler for 4Â K UHD), under Grant K10041900, and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2015R1A2A2A01006193).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dodgson, N.A.: Quadratic interpolation for image resampling. IEEE Trans. Image Process. 6, 1322–1326 (1997)
Hou, H.S., Andrews, H.C.: Cubic splines for image interpolation and digital filtering. IEEE Trans. Acoust. Speech Sig. Process. 26, 508–517 (1978)
Unser, M., Aldroubi, A., Eden, M.: Fast B-Spline transforms for continuous image representation and interpolation. IEEE Trans. Pattern Anal. Mach. Intell. 13, 277–285 (1991)
Keys, R.G.: Cubic convolution interpolation for digital image processing. IEEE Trans. Acoust. Speech Signal Process. ASSP-29(6), 1153–1160 (1981)
Miklós, P.: Comparison of convolutional based interpolation techniques in digital image processing. In: International Symposium on Intelligent Systems and Informatics, pp. 87–90, August 2007
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Lee, SJ., Han, JK. (2015). Performance Analysis of Scaler SoC for 4K Video Signal. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-24078-7_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24077-0
Online ISBN: 978-3-319-24078-7
eBook Packages: Computer ScienceComputer Science (R0)