Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nithin Varma Malathkar"'
Publikováno v:
Network Biology, Vol 8, Iss 1, Pp 35-43 (2018)
A simple and efficient image compression algorithm for the capsule endoscopy is given in this paper. The algorithm consist of simplified RGB-YUV colour transform, corner clipping, differential pulse code modulation and Golomb-Rice code. Here, differe
Externí odkaz:
https://doaj.org/article/ade641b50751414f815482c18dc7ab31
Publikováno v:
Multimedia Tools and Applications. 80:22163-22175
In this paper, a simple image compression algorithm is proposed for wireless capsule endoscopy. The proposed algorithm consists of new simplified YUV colour space, corner clipping, uniform quantization, subsampling, differential pulse code modulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d34fbcb29c0e6b6e94b5d93f5a7494c
https://doi.org/10.1007/s11042-021-10808-0
https://doi.org/10.1007/s11042-021-10808-0
Publikováno v:
Multimedia Tools and Applications. 79:8145-8160
Compression chip plays a vital role in a wireless capsule endoscopy. It compresses the captured image data to support the limited bandwidth of wireless capsule endoscopy and save the power utilized for transmitting data. This work proposed a near-los
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d424001958a08ab33d8f4898d55dc094
https://doi.org/10.1007/s11042-019-08347-w
https://doi.org/10.1007/s11042-019-08347-w
Publikováno v:
Biomedical Signal Processing and Control. 48:197-204
A lossless image compression algorithm with low computational complexity and to provide high image quality in limited bandwidth transmission is proposed in the paper. New algorithm is based on a new YEN colour transform for WCE images, improved and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0907a3f76579954339d15a19fc308a29
https://doi.org/10.1016/j.bspc.2018.10.016
https://doi.org/10.1016/j.bspc.2018.10.016
Publikováno v:
2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON).
Wireless capsule endoscopy is an emerging technique in medical field used for diagnosing diseases in gastrointestinal tract of human body. An efficient image resolution enhancement technique is proposed to overcome low resolution image limitation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::409908d0414bb8ffa61cbdec38fb3de3
https://doi.org/10.1109/iemeconx.2019.8877002
https://doi.org/10.1109/iemeconx.2019.8877002
Publikováno v:
Biomedical Signal Processing and Control. 60:101995
Presented a low cost technique for transmitting data through radio frequency antenna using low power, which is the combination of low computational complexity image compression algorithm and simple colour reproduction algorithm. In wireless capsule e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c4b83987621c3b7e24e6c912a2683b8
https://doi.org/10.1016/j.bspc.2020.101995
https://doi.org/10.1016/j.bspc.2020.101995
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811331398
Demand for wireless capsule endoscopy is increasing rapidly due to its simplicity and comfortable procedure. However, the wireless capsule endoscopy lack in complete diagnosing of gastrointestinal tract due to its limited power supply and size. Low c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7eb608d633735f4c7acd29c0f989a8
https://doi.org/10.1007/978-981-13-3140-4_21
https://doi.org/10.1007/978-981-13-3140-4_21
Publikováno v:
2017 4th International Conference on Signal Processing, Computing and Control (ISPCC).
An efficient compression algorithm for the capsule endoscopy is described in this paper. This paper consists of a simplified YUV color space, which is developed by taking endoscopy images unique properties into consideration. This is built on RGB-sYU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4da05642b9819d94587fd40dff119a9
https://doi.org/10.1109/ispcc.2017.8269688
https://doi.org/10.1109/ispcc.2017.8269688