{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T13:38:10Z","timestamp":1778852290642,"version":"3.51.4"},"reference-count":21,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T00:00:00Z","timestamp":1584144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wireless Capsule Endoscopy is a state-of-the-art technology for medical diagnoses of gastrointestinal diseases. The amount of data produced by an endoscopic capsule camera is huge. These vast amounts of data are not practical to be saved internally due to power consumption and the available size. So, this data must be transmitted wirelessly outside the human body for further processing. The data should be compressed and transmitted efficiently in the domain of power consumption. In this paper, a new approach in the design and implementation of a low complexity, multiplier-less compression algorithm is proposed. Statistical analysis of capsule endoscopy images improved the performance of traditional lossless techniques, like Huffman coding and DPCM coding. Furthermore the Huffman implementation based on simple logic gates and without the use of memory tables increases more the speed and reduce the power consumption of the proposed system. Further analysis and comparison with existing state-of-the-art methods proved that the proposed method has better performance.<\/jats:p>","DOI":"10.3390\/s20061617","type":"journal-article","created":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T08:20:44Z","timestamp":1584519644000},"page":"1617","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Ingenious Design of a High Performance-Low Complexity Image Compressor for Wireless Capsule Endoscopy"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6033-3390","authenticated-orcid":false,"given":"Ioannis","family":"Intzes","sequence":"first","affiliation":[{"name":"Department of Electronic and Computer Engineering, Brunel University, London UB8 3PH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8836-1382","authenticated-orcid":false,"given":"Hongying","family":"Meng","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Brunel University, London UB8 3PH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Cosmas","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Brunel University, London UB8 3PH, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1108\/02602280310468233","article-title":"Wireless capsule endoscopy","volume":"23","author":"Glukhovsky","year":"2003","journal-title":"Sens. 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Endosc., 13\u201336.","DOI":"10.4253\/wjge.v7.i1.13"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"343787","DOI":"10.1155\/2011\/343787","article-title":"Lossless and Low-Power Image Compressor for Wireless Capsule Endoscopy","volume":"2011","author":"Khan","year":"2011","journal-title":"VLSI Des."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/TBCAS.2008.2006493","article-title":"A Wireless Capsule Endoscope System With Low-Power Controlling and Processing ASIC","volume":"3","author":"Chen","year":"2009","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Liu, G., Yan, G., Zhu, B., and Lu, L. (2016). Design of a video capsule endoscopy system with low-power ASIC for monitoring gastrointestinal tract. Med. Biol. Eng. Comput., 1779\u20131791.","DOI":"10.1007\/s11517-016-1472-2"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/1475-925X-5-14","article-title":"An ultra-low-power image compressor for capsule endoscope","volume":"5","author":"Lin","year":"2006","journal-title":"BioMed. Eng. OnLine"},{"key":"ref_8","unstructured":"Ming, Y., and Bourbakis, N. (2005, January 7\u201310). An overview of lossless digital image compression techniques. Proceedings of the 48th Midwest Symposium on Circuits and Systems, Covington, KY, USA."},{"key":"ref_9","unstructured":"(2020, February 12). Images from Capsule Endoscopy. Available online: https:\/\/www.endoatlas.net\/."},{"key":"ref_10","unstructured":"(2020, February 13). GASTROLAB\u2014The Gastrointestinal Site. Available online: http:\/\/www.gastrolab.net\/ni.htm."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"013015","DOI":"10.1117\/1.2711802","article-title":"Low-complexity near-lossless image compression method and its application-specific integrated circuit design for a wireless endoscopy capsule system","volume":"16","author":"Li","year":"2007","journal-title":"J. Electron. Imaging"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Mostafa, A., Khan, T., and Wahid, K. (2014, January 26\u201330). An improved YEF-DCT based compression algorithm for video capsule endoscopy. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA.","DOI":"10.1109\/EMBC.2014.6944118"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"20779","DOI":"10.3390\/s141120779","article-title":"Design of a Lossless Image Compression System for Video Capsule Endoscopy and Its Performance in In-Vivo Trials","volume":"14","author":"Mostafa","year":"2014","journal-title":"Sensors"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1002\/cncr.21975","article-title":"Increased diagnostic yield of small bowel tumors with capsule endoscopy","volume":"107","author":"Cobrin","year":"2006","journal-title":"Cancer"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.gtc.2005.08.009","article-title":"Investigation of the small bowel in gastrointestinal bleeding-enteroscopy and capsule endoscopy","volume":"34","author":"Carey","year":"2005","journal-title":"Gastroenterol. Clin. N. Am."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1097\/00054725-200307000-00010","article-title":"Wireless capsule endoscopy in the diagnosis of small bowel Crohn\u2019s disease","volume":"9","author":"Ciorba","year":"2003","journal-title":"Inflamm. Bowel Dis."},{"key":"ref_17","first-page":"98","article-title":"Lossless Medical Image Compression Using Predictive Coding and Integer Wavelet Transform based on Minimum Entropy Criteria","volume":"2","author":"Gupta","year":"2013","journal-title":"Int. J. Appl. Innov. Eng. Manag. (IJAIEM)"},{"key":"ref_18","first-page":"39","article-title":"Performance Comparison of CMOS and Finfet Based Circuits At 45nm Technology Using SPICE","volume":"4","author":"Sathe","year":"2014","journal-title":"Int. J. Eng. Res. Appl."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Gu, Y., Jiang, H., Xie, X., Li, G., and Wang, Z. (2016, January 17\u201319). An Image Compression Algorithm for Wireless Endoscopy and Its ASIC Implementation. Proceedings of the 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), Shanghai, China.","DOI":"10.1109\/BioCAS.2016.7833735"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Goyal, K., Lal, A., and Bhaumik, B. (2017, January 21\u201323). DWT based Low Power Image Compressor for Wireless Capsule Endoscopy. Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, Portugal.","DOI":"10.5220\/0006103000170024"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1677","DOI":"10.1007\/s00034-015-0136-z","article-title":"Design and implementation of computationally efficient image compressor for wireless capsule endoscopy","volume":"35","author":"Fante","year":"2016","journal-title":"Circuits Syst. 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