Fatma Belghith, Sonda Ben Jdidia, Bouthaina Abdallah, Nouri Masmoudi
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FPGA-based implementation of the VVC low-frequency non-separable transform
The Versatile Video Coding (VVC) standard, released in July 2020, brings better coding performance than the High-Efficiency Video Coding (HEVC) thanks to the introduction of new coding tools. The transform module in the VVC standard incorporates the Multiple Transform Selection (MTS) concept, which relies on separable Discrete Cosine Transform (DCT)/Discrete Sine Transform (DST) kernels, and the recently introduced Low-Frequency Non-Separable Transform (LFNST). This latter serves as a secondary transform process, enhancing coding efficiency by further decorrelating residual samples. However, it introduces heightened computational complexity and substantial resource allocation demands, potentially complicating its hardware implementation. This paper introduces an effective and cost-efficient hardware architecture for LFNST. The proposed design employs additions and bit-shifting operations preserving hardware logic usage. The synthesis results for an Arria 10 10AX115N1F45E1SG FPGA device demonstrate that the logic cost is only of 26% of the available hardware resources. Additionally, the proposed design is working at 204 MHz and can process Ultra High Definition (UHD) 4K videos at up to 60 frames per second (fps).
期刊介绍:
Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed.
Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application.
It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system.
The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.