JPEG-LS Compression on FPGA: A Solution for Wireless Capsule Endoscopy

Andreas Bay Madsen, Rasmus Faurskov, Ali Sahafi

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Abstract

In Wireless Capsule Endoscopy (WCE), image compression can be used to reduce the necessary bandwidth and power consumption for the wireless transmission, allowing for a longer battery life for a given image resolution and frame rate. In this paper an FPGA implementation of the JPEG-LS compression algorithm is developed for use in Wireless Capsule Endoscopy with the aim of investigating the hardware resource utilization and power consumption. The pipelined HDL implementation is designed to interface directly with a camera module at its input and a transmitting device at its output, where the compressed bitstream is stored in a buffer. The full system is intended to run on the Lattice iCE40UP5K low power FPGA and the considered camera module is the OV7670 from OmniVision. Tests performed on a gastro-intestinal image dataset, representative of the use case, showed an average compression ratio of 2.84. An estimated power consumption of 10.35 mW is reported along with a utilization of 27860 4-bit Look-Up Tables (LUT4) and 136.5 KiB block-RAM. The most resource demanding module is the output buffer for the bitstream, using more than 50 percent of the consumed LUT4. The Look-Up Table consumption exceeds that of the intended target FPGA and further work is needed to optimize the design.
OriginalsprogEngelsk
Titel2023 IEEE International Conference on Imaging Systems and Techniques (IST)
Antal sider5
ForlagIEEE
Publikationsdato17. okt. 2023
ISBN (Elektronisk)979-8-3503-3083-0
DOI
StatusUdgivet - 17. okt. 2023
Begivenhed2023 IEEE International Conference on Imaging Systems and Techniques (IST) - Copenhagen, Danmark
Varighed: 17. okt. 202319. okt. 2023

Konference

Konference2023 IEEE International Conference on Imaging Systems and Techniques (IST)
Land/OmrådeDanmark
ByCopenhagen
Periode17/10/202319/10/2023
NavnInternational Conference on Imaging Systems and Techniques
ISSN2471-6162

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