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고성제 고려대학교 공학기술연구소 1993 고려대학교 생산기술연구소 생기연논문집 Vol.29 No.1
This paper presents a computationally efficient image restoration algorithm employing a bank of Wiener filters. Based on Lebedev and Mirkin's composite image model, we propose a filtering structure which utilizes the Modified Quadratic Discriminant Function(MQDF). It is shown that this algorithm is similar performance to other algorithms using the composite image model, but has less computational requirements.
Mesh-Based View Interpolation Using Adaptive Node Insertion and Elimination
Sung-Ho Lee,Seung-Won Jung,Seung-Kyun Kim,Sung-Jea Ko 대한전자공학회 2010 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
This paper describes a triangular mesh based novel virtual view interpolation algorithm. In the conventional mesh based view interpolation, the feature points are extracted and the disparity between images is estimated at the extracted points. Then, image warping is performed by using the estimated disparity values. In order to improve the performance of the conventional view interpolation techniques, we first insert additional feature points at the disparity discontinuity and eliminate unnecessary feature points. Then, the forward and backward warping results are combined by using an adaptive weighting factor. The experimental results show that the proposed method improves the visual quality of the interpolated image without excessively increasing the computational complexity.
Image Contrast Enhancement Based on a Multi-Cue Histogram
Lee, Sung-Ho,Zhang, Dongni,Ko, Sung-Jea The Institute of Electronics and Information Engin 2015 IEIE Transactions on Smart Processing & Computing Vol.4 No.5
The conventional intensity histogram does not indicate edge information, which is important in the perception of image contrast. In this paper, we propose a multi-cue histogram (MCH) to represent a collaborative distribution of both the intensity and the edges of an image. Based on the MCH, if the intensity values have high frequency and a large gradient magnitude, they are spread into a larger dynamic range. Otherwise, the intensity values are not strongly stretched. As a result, image details, such as edges and textures, can be enhanced while artifacts and noise can be prevented, as demonstrated in the experimental results.
Iterative Image Dehazing Using the Dark Channel Prior
LEE, Sung-Ho,JUNG, Seung-Won,KO, Sung-Jea 'Institute of Electronics, Information and Communi 2016 IEICE transactions on fundamentals of electronics, Vol.ea99 No.10
<P>The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze -free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.</P>