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Moon, N.S.;Lee, S.J.;Song, J.S.;Kim, J.H.;Lee, C.W.
- Proceedings of the KOSOMBE Conference
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- v.1997 no.05
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- pp.95-100
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- 1997
In this paper, we propose a coding method to improve compression efficiency for MR image. This can be achieved by combining coding and segmentation scheme which removes noisy background region, which is meaningless for diagnosis, in MR image. The wavelet coder encodes only diagnostically significant foreground regions refering to segmentation map. Our proposed algorithm provides about 15% of bitrate reduction when compared with the same coder which is not combined with segmentation scheme. And the proposed scheme shows better reconstructed image Qualify than JPEG at the same compression ratio.
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김수민;서영호;김동욱
- Proceedings of the IEEK Conference
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- 2003.07e
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- pp.1859-1862
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- 2003
Security of digital images attracts much attention recently, and many image encryption methods have been proposed. This paper proposed an image encryption methodology to hide the image information. The target data of it is the result from quantization in the wavelet domain. This method encrypts only part of the image data rather than the whole data of the original image. For ciphering the quantization index we use a novel image encryption Algorithm called BRIE(Bit Recirculation Image Encryption). which was proposed by J. C. Yen and J. I. Guo in 1999. According to a chaotic binary sequence generated by BRIE, the block which is produced by quantization index is cyclically shifted in the right or left direction. Finally, simulation results are included to demonstrate its effectiveness.
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Han, Yong-gyu;Lee, S.B.;Jeong, S.H.;Son, C.G.;Yoo, N.L.;Lee, H.J.;Lim, J.E.;Lee, J.H.;Jeoung, J.M.;Ko, B.D.;Oh, P.Y.;Moon, M.W.;Choi, Eun-Ha
- 한국정보디스플레이학회:학술대회논문집
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- 2005.07a
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- pp.263-265
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- 2005
In the alternative current plasma display panel(AC-PDP) technology, it is very important to remove the image sticking for improving an image quality. In this paper, we have investigated the driving method of alternative current plasma display panel(AC-PDP) for preventing image sticking. We have investigated the driving method of alternative current plasma display panel(AC-PDP) for preventing image sticking. The preventing method of image sticking was proposed by adopting the Sticking Remove Pulse(SRP). The variation of brightness is most affected by the MgO to be formed at the surface of the phosphor layer. As a result, the image sticking is reduced when the driving method adopted an SRP.
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Yoon, Y.C.;Sang, J.H.;Park, S.M.
- Electronics and Telecommunications Trends
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- v.33 no.4
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- pp.54-60
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- 2018
In this paper, we analyze the trends of deep-learning based plant data processing technologies. In recent years, the deep-learning technology has been widely applied to various AI tasks, such as vision (image classification, image segmentation, and so on) and natural language processing because it shows a higher performance on such tasks. The deep-leaning method is also applied to plant data processing tasks and shows a significant performance. We analyze and show how the deep-learning method is applied to plant data processing tasks and related industries.
https://doi.org/10.22648/ETRI.2018.J.330406 인용 PDF

Oh, J.S.;Kim, H.C.;Kim, H.R.;Koo, J.M.;Kim, M.G.
- Proceedings of the KIEE Conference
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- 2005.10b
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- pp.6-8
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- 2005
Study that uses geometrical information in computer vision is lively. Problem that should be preceded is matching problem before studying. Feature point should be extracted for well matching. There are a lot of methods that extract feature point from former days are studied. Because problem does not exist algorithm that is applied for all images, it is a hot water. Specially, it is not easy to find feature point in endoscope image. The big problem can not decide easily a point that is predicted feature point as can know even if see endoscope image as eyes. Also, accuracy of matching problem can be decided after number of feature points is enough and also distributed on whole image. In this paper studied algorithm that can apply to endoscope image. SIFT method displayed excellent performance when compared with alternative way (Affine invariant point detector etc.) in general image but SIFT parameter that used in general image can't apply to endoscope image. The gual of this paper is abstraction of feature point on endoscope image that controlled by contrast threshold and curvature threshold among the parameters for applying SIFT method on endoscope image. Studied about method that feature points can have good distribution and control number of feature point than traditional alternative way by controlling the parameters on experiment result.
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