Endoscopic Wireless Capsule Compressor: A Review of the Existing Image and Video Compression Algorithms

Sushma, B.

doi:10.1007/978-981-15-8677-4_23

Cited by 1 publication

(1 citation statement)

References 38 publications

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“…Satellite image acquisition is a prominent application of these systems, which have pushed the development of many algorithms and hardware implementations [1,2]. Additionally, we can find medical applications such as capsule endoscopy [3][4][5][6][7] or portable image devices [8].…”

Section: Introductionmentioning

confidence: 99%

An FPGA-Based LOCO-ANS Implementation for Lossless and Near-Lossless Image Compression Using High-Level Synthesis

2021

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In this work, we present and evaluate a hardware architecture for the LOCO-ANS (Low Complexity Lossless Compression with Asymmetric Numeral Systems) lossless and near-lossless image compressor, which is based on JPEG-LS standard. The design is implemented in two FPGA generations, evaluating its performance for different codec configurations. The tests show that the design is capable of up to 40.5 MPixels/s and 124 MPixels/s per lane for Zynq 7020 and UltraScale+ FPGAs, respectively. Compared to the single thread LOCO-ANS software implementation running in a 1.2 GHz Raspberry Pi 3B, each hardware lane achieves 6.5 times higher throughput, even when implemented in an older and cost-optimized chip like the Zynq 7020. Results are also presented for a lossless only version, which achieves a lower footprint and approximately 50% higher performance than the version that supports both lossless and near-lossless. Interestingly, these great results were obtained applying High-Level Synthesis, describing the coder with C++ code, which tends to establish a trade-off between design time and quality of results. These results show that the algorithm is very suitable for hardware implementation. Moreover, the implemented system is faster and achieves higher compression than the best previously available near-lossless JPEG-LS hardware implementation.

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