Low-complexity chroma down/up sampling conversion using decimation/interpolation FIR filter and FPGA IP-core design

Nghia Van Tran; Hieu Trung Dang; Dung Viet Pham

doi:10.21553/rev-jec.418

Low-complexity chroma down/up sampling conversion using decimation/interpolation FIR filter and FPGA IP-core design

Nghia Van Tran, Hieu Trung Dang, Dung Viet Pham

Abstract

This paper proposes a low-complexity solution for chroma downsampling and upsampling, applicable to video compression. The proposed method uses decimation and interpolation FIR filters, which are known to be effective in signal processing. This approach enhances the quality of chroma recovery and minimizes computational complexity, making it suitable for hardware platforms with limited resources. An experimental design was implemented on an FPGA using a parameterized IP core that supports YCbCr and YUV color spaces, enabling flexible conversion between 4:4:4, 4:2:2, and 4:2:0 formats. This implementation contributes to improved performance, enhanced flexibility, and reduced computational complexity—an important requirement for modern video applications. The IP core was successfully verified using the Xilinx Vitis Model Composer tool, with a focus on visually inspecting the output and comparing it against reference models developed in the MATLAB/Simulink environment.

References

Z.-G. Liu, S.-Y. Du, Y. Yang, and X.-H. Ji, “A fast algorithm for color space conversion and rounding error analysis based on fi xed-point digital signal processors,” Computers & Electrical Engineering, vol. 40, no. 4, pp. 1405–1414, 2014.

T. V. Nghia, “A design of the universal color-space converter IP-cores based on Field – Programmable Gate Array,” Journal of Vietnam Science and Technology, vol. 1, no. 1, pp. 14–17, 2017.

S. Zhu, C. Cui, R. Xiong, Y. Guo, and B. Zeng, “Efficient chroma sub-sampling and luma modifi cation for color image compression,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 5, pp. 1559–1563, 2019.

T.-L. Lin, K.-H. Jiang, and J.-S. Tu, “Low-complexity chroma subsampling using optimal lines of subproblems of pixel distortion,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 7, pp. 4778–4787, 2022.

M. Azimi and M. T. Pourazad, “A novel chroma processing scheme for improved color accuracy of hdr video content,” IEEE Transactions on Broadcasting, vol. 66, no. 3, pp. 718–728, 2020.

T.-L. Lin, Y.-C. Yu, K.-H. Jiang, C.-F. Liang, and P.-S. Liaw, “Novel chroma sampling methods for cfa video compression in avc, hevc and vvc,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 3167–3180, 2020.

K.-L. Chung and S.-N. Chen, “An effective bilinear interpolation-based iterative chroma subsampling method for color images,” Multimed Tools Appl 81, p. 32191–32213, 2022.

A. Ahilan, B. P. Khanth, R. Ezhilarasi, and N. Muthukumaran, “Efficient luma modifi cation-based chroma down-sampling and novel luma down-sampling with adaptive interpolation,” SIViP 18, p. 1415–1428, 2024.

C. Guo, C. Li, J. Guo, R. Cong, H. Fu, and P. Han, “Hierarchical features driven residual learning for depth map super-resolution,” IEEE Transactions on Image Processing, vol. 28, no. 5, pp. 2545–2557, 2019.

X. Yang, H. Mei, J. Zhang, K. Xu, B. Yin, Q. Zhang, and X. Wei, “Drfn: Deep recurrent fusion network for single-image super-resolution with large factors,” IEEE Transactions on Multimedia, vol. 21, no. 2, pp. 328–337, 2019.

“ITU-R BT.601–5—studio encoding parameters of digital

television for standard 4:3 and widescreen 16:9 aspect

ratios,” ITU-R, Tech. Rep., 1995.

“ITU-R BT.709–5—parameter values for the hdtv standards for production and international programm exchange,” ITU-R, Tech. Rep., 2002.

DOI: http://dx.doi.org/10.21553/rev-jec.418

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