On the Performance of FPGA Implementation of Block Matching Algorithms for Video Motion Estimation

Laidi, K.; Mokhtar, Norrima

doi:10.1109/cistem.2018.8613430

Cited by 1 publication

(1 citation statement)

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“…Although this option offers good performance in terms of compression ratedistortion ratio, it also presents coarse drawbacks in order to be implemented on hardware, such as a complex architecture (specially the inter-prediction stage, where motion estimation is computed), preventing its implementation on hardware resources available on-board satellites [8], or an imprecise behaviour for lossless compression, among others. Different works are available in the state-of-the-art about FPGA implementations of the H.264 encoder, but focusing in particular stages whose performance is critical, such as motion estimation [9], [10], [11], [12], the intra-prediction [13], [14], quantization [15] or the encoding [16], [17]. A full hardware implementation of the H.264 encoder in baseline profile is presented in [18], consuming the 89% of slices available in a Xilinx XC6VLX240T FPGA.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of the CCSDS 123.0-B-2 Standard for RGB Video Compression

Barrios

Guerra

López

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The integration of video sensors on-board satellites is becoming a trend in the space industry, since they provide extra information in the temporal domain when compared with traditional remote sensing imaging acquisition equipment. The inclusion of the temporal dimension together with the constant increase of the sensor resolution supposes a challenge for onboard processing, taking into account the limited computational and storage resources on-board satellites and that it is unfeasible to directly transmit raw video to ground, due to downlink bandwidth limitations. For these reasons, on-board video compression is needed. However, the inherent complexity of the video encoders used on ground limits their implementation on environments with high constraints in terms of computational burden, area and power consumption. This work proposes an extended compression chain that implements as compression core the CCSDS-123.0-B-2 standard, originally developed for near-lossless compression of multi-and hyperspectral images. In addition, some preprocessing stages are included to manage the temporal dimension of RGB video efficiently. The proposed solution guarantees low complexity and flexibility to compress both multi-and hyperspectral images, and panchromatic and RGB video by using a single compression instance, which is adapted by adding or removing the appropriate stages. Results demonstrate the viability of this solution to be implemented on space payloads, since high compression ratios are achieved without incurring in a penalty in terms of video quality.

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