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Implementation of FPGA Algorithms for Identification of Image Distortion due to Compression

  • Analysis and Synthesis of Signals and Images
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Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

The implementation of algorithms for comparative analysis of television image quality is considered. It is proposed to use the Xilinx Zynq-7000 platform, combining the advantages of FPGA and a general-purpose processor, to provide continuous on-line operation. An algorithm software architecture for comparing video signal quality by a full reference measurement method is proposed.

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References

  1. Recommendation ITU-R BT.1907 Objective Perceptual Video Quality Measurement Techniques for Broadcast Applications using HDTV in the Presence of a Full Reference Signal (Geneva, 2012).

  2. K. F. Lysakov and M. Yu. Shadrin, “FPGA Based Hardware Accelerator for High Performance Data-Stream Processing,” Pattern Recognit. Image Anal. 23 (1), 26–34 (2013).

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  3. K. F. Lysakov and M. Yu. Shadrin, “Hardware-Software Solution for HD-SDI Video Stream Processing in a PC,” in Proceeding of the Regional Scientific-Practical Conference “Multi-Core Processors, Parallel Programming, FPGA, Signal Processing Systems” (Barnaul, Russia, February 28, 2012), pp. 84–89.

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Correspondence to K. F. Lysakov.

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Russian Text © The Author(s), 2020, published in Avtometriya, 2020, Vol. 56, No. 1, pp. 33–38.

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Lysakov, K.F., Oblaukhov, K.K. & Shadrin, M.Y. Implementation of FPGA Algorithms for Identification of Image Distortion due to Compression. Optoelectron.Instrument.Proc. 56, 28–32 (2020). https://doi.org/10.3103/S8756699020010045

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  • DOI: https://doi.org/10.3103/S8756699020010045

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