Browsing by Author "Kuo, LC"

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A feature-based scalable codec for image compression
(2005)
Kuo, LC
;
Wang, SJ
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電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
This paper presents a feature-based scheme for image compression. In the proposed method, the features in an image are recorded by three-dimensional verge points, which are defined as high curvature points on the image surface. The verge point representation can be further condensed using B-spline control point approximation. By encoding and transmitting these control points, the features in an image could be revealed at the decoder side. Furthermore, by selecting different coding modes, the proposed method can offer diversified scalabilities, including SNR scalability, spatial scalability, and shape scalability. In addition, this coding technique is suitable for region of interest selection and transmission. Experimental results are provided to present the scalability and interactivity of the proposed method.
A flexible architecture for feature-based image editing
(2005)
Kuo, LC
;
Wang, SJ
;
交大名義發表
;
National Chiao Tung University
This paper presents a scheme for feature-based image editing. In the proposed method, an image is decomposed into a skeleton component and a residual component. The skeleton component is obtained by performing iterative linear interpolation based on high-curvature points, which are extracted from the image surface using Hessian tensor. The residual component is obtained by subtracting the skeleton component from the original image. By manipulating the skeleton component and the residual component, several applications, such as adaptive contrast enhancement, sharpness enhancement, and shape editing, can be achieved. Experimental results are provided to verify the versatility and flexibility of this proposed architecture.
Impact of a large earthquake on a GPS network: The case of the 1999 Chi-Chi, Taiwan earthquake
(2002-04-01)
Kuo, LC
;
Yu, SB
;
Hsu, VJ
;
Hou, CS
;
Lee, YH
On 20 September 1999, Taiwan was hit by the largest inland earthquake (M-w = 7.6) in the last century resulting in an 80-kilometre thrust rupture almost directly along the existing Chelungpu fault. Here, we estimated the coordinates of the GPS stations by using the annual epoch-observed and permanent continuously-recorded GPS data covering the 1992-1999 period Taking into account the effects of secular motion and post-deformation, we calculated the corrected coseismic displacements. Relatively large coseismic displacements of 8-9 in in the horizontal and vertical components were found in the northern part of the fault. Stations on the hanging wall shifted horizonatly 2-9 in in the NW direction and decreased in magnitude from west to east. On the other hand, displacements on the footwall were less than 2 in in the SE direction hid increased from west to east. The size of the zone overlapping the hanging wall and the foowall showed a decrease of 796 ppm in 494 km(2). This is in direct contrast to areas near the fault which increased in size from 13 to 23 7 ppm. Significant postseismic deformations were also observed in data from the existing 44 permanent stations and 7 temporary stations. Additionally, large postseismic deformations of 10-20 cm were found at stations SUAM, 100 7 and YUSN within 10 months.
Representing images using points on image surfaces
(2005-08-01)
Wang, SJ
;
Kuo, LC
;
Jong, HH
;
Wu, ZH
;
電子工程學系及電子研究所
This paper presents a new approach to represent an image by "verge points," which are defined as high-curvature points on the image surface. This representation offers a compact and reversible way to preserve the essence of the original image. Various applications, such as compression, edge detection, image enhancement, and image editing, can be achieved based on this representation. In this paper, the whole procedure for verge point representation is presented. Based on these verge points, image reconstruction can be easily achieved via iterative linear interpolation. These extracted verge points with compatible properties are further linked into verge curves to offer more compact representation. Progressive representation is also developed based on a multiscale extraction scheme. Some potential applications are then presented to demonstrate the versatility of this representation.