ArticleSensors (Basel, Switzerland)2014
Design of a lossless image compression system for video capsule endoscopy and its performance in in-vivo trials.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 31 citations in OpenAlex.
- Biomimetic Exogenous "Tissue Batteries" as Artificial Power Sources for Implantable Bioelectronic Devices Manufacturing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- 3D DCT Based Image Compression Method for the Medical Endoscopic Application.Sensors (Basel, Switzerland) · 2021Article
- Lossless Decompression Accelerator for Embedded Processor with GUI.Micromachines · 2021Article
- An Ingenious Design of a High Performance-Low Complexity Image Compressor for Wireless Capsule Endoscopy.Sensors (Basel, Switzerland) · 2020Article
- Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy.Computational and mathematical methods in medicine · 2017Article
- Article
- Colour-reproduction algorithm for transmitting variable video frames and its application to capsule endoscopy.Healthcare technology letters · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, a new low complexity and lossless image compression system for capsule endoscopy (CE) is presented. The compressor consists of a low-cost YEF color space converter and variable-length predictive with a combination of Golomb-Rice and unary encoding. All these components have been heavily optimized for low-power and low-cost and lossless in nature. As a result, the entire compression system does not incur any loss of image information. Unlike transform based algorithms, the compressor can be interfaced with commercial image sensors which send pixel data in raster-scan fashion that eliminates the need of having large buffer memory. The compression algorithm is capable to work with white light imaging (WLI) and narrow band imaging (NBI) with average compression ratio of 78% and 84% respectively. Finally, a complete capsule endoscopy system is developed on a single, low-power, 65-nm field programmable gate arrays (FPGA) chip. The prototype is developed using circular PCBs having a diameter of 16 mm. Several in-vivo and ex-vivo trials using pig's intestine have been conducted using the prototype to validate the performance of the proposed lossless compression algorithm. The results show that, compared with all other existing works, the proposed algorithm offers a solution to wireless capsule endoscopy with lossless and yet acceptable level of compression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.