• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.563-566
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• 2003

Quality measures play an important role in the field of image processing. Such measures are commonly used to assess the performance of different algorithms that are designed to perform a specific image processing task. In this paper we propose two novel measures for image quality assessment based on the notion of correlation between fuzzy sets. Two different definitions fur the correlation between fuzzy sets have been used. In order to calculate the proposed quality measures two approaches were evaluated, one with direct application of the measures to the image′s pixels and the other using the fuzzy set corresponding to the normalized histogram of the image. A comparative study of the proposed measures is performed by investigating their behavior using images with different types of distortions, such as impulsive "salt at pepper" noise, additive white Gaussian noise, multiplicative speckle noise, blurring, gamma distortion, and JPEG compression.

• 한국컴퓨터산업학회논문지
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• 제3권7호
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• pp.871-880
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• 2002

본 논문에서는 웨이브릿 변환 영역에 제안한 알고리즘으로 여러 공격에 강인한 워터마크를 삽입하고 성능을 분석하였다. 영상의 저작권 보호를 위해 웨이브릿 변환 영역의 LH와 HL의 부대역에 이진의 워터마크를 삽입하였다. 제안한 방법의 강인성을 실험하기 위해 명도 변화, 크기 변화, 필터링, 잘라내기, 히스토그램 평활화, 손실압축과 같은 영상처리를 하였다. 실험 결과 제안한 방법은 화질의 열화를 최소로 하여 워터마크를 삽입할 수 있고 여러 공격에 대해서 추출된 워터마크는 높은 상관계수로 인지되었다.

• Journal of information and communication convergence engineering
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• 제13권1호
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• pp.62-68
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• 2015

In this paper, we propose a watermarking method for protecting the ownership of three-dimensional (3D) content generated from depth and texture images. After selecting the target areas to preserve the watermark by depth-image-based rendering, the reference viewpoint image is moved right and left in the depth map until the maximum viewpoint change is obtained and the overlapped region is generated for marking space. The region is divided into four subparts and scanned. After applying discrete cosine transform, the watermarks are inserted. To extract the watermark, the viewpoint can be changed by referring to the viewpoint image and the corresponding depth image initially, before returning to the original viewpoint. The watermark embedding and extracting algorithm are based on quantization. The watermarked image is attacked by the methods of JPEG compression, blurring, sharpening, and salt-pepper noise.

• 한국광학회:학술대회논문집
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• 한국광학회 2003년도 하계학술발표회
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• pp.80-81
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• 2003

The psychophysical experiments were carried out by a panel of eleven observers on the image difference pairs displayed on the LCD (liquid crystal display)to quantify the quality changes of complex images imparted by the typical image processing operations. There were six different kinds of pairs according to their original image. The three types of visual tests performed were： pair-to-pair comparison of image differences for ordering the differences between images introduced by single or combination of image lightness change, contrast change, blurring, and sharpening, perceptibility and acceptability tests using ascending or descending series of image difference pairs ordered according to the size of their visual differences. (omitted)

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.544-564
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• 2022

Underwater images often suffer from color distortion, blurring and low contrast, which is caused by the propagation of light in the underwater environment being affected by the two processes: absorption and scattering. To cope with the poor quality of underwater images, this paper proposes a multiscale fusion underwater image enhancement method based on channel attention mechanism and local binary pattern (LBP). The network consists of three modules: feature aggregation, image reconstruction and LBP enhancement. The feature aggregation module aggregates feature information at different scales of the image, and the image reconstruction module restores the output features to high-quality underwater images. The network also introduces channel attention mechanism to make the network pay more attention to the channels containing important information. The detail information is protected by real-time superposition with feature information. Experimental results demonstrate that the method in this paper produces results with correct colors and complete details, and outperforms existing methods in quantitative metrics.

• Journal of Electrical Engineering and information Science
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• 제1권1호
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• pp.70-76
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• 1996

In this paper, we have proposed a band stop filter (BSF) for pre-processing of image sequences before encoding. By pixel-wise temporal filtering of the image sequences using the BSF, the bandwidth and noise of the signal are reduced, while preserving the image quality in view of human visual perceptions. As a result, when compared to the original image sequences, te pre-filtered image sequence requires lower bit-rates for encoding, while there is not much degradation in quality. Also, it has been shown that the proposed BSF causes less smearing and blurring than the conventional recursive low pass filter for bandwidth and noise reductions.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.383-388
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• 2005

Depth recovery in robot vision is an essential problem to infer the three dimensional geometry of scenes from a sequence of the two dimensional images. In the past, many studies have been proposed for the depth estimation such as stereopsis, motion parallax and blurring phenomena. Among cues for depth estimation, depth from lens translation is based on shape from motion by using feature points. This approach is derived from the correspondence of feature points detected in images and performs the depth estimation that uses information on the motion of feature points. The approaches using motion vectors suffer from the occlusion or missing part problem, and the image blur is ignored in the feature point detection. This paper presents a novel approach to the defocus technique based depth from lens translation using sequential SVD factorization. Solving such the problems requires modeling of mutual relationship between the light and optics until reaching the image plane. For this mutuality, we first discuss the optical properties of a camera system, because the image blur varies according to camera parameter settings. The camera system accounts for the camera model integrating a thin lens based camera model to explain the light and optical properties and a perspective projection camera model to explain the depth from lens translation. Then, depth from lens translation is proposed to use the feature points detected in edges of the image blur. The feature points contain the depth information derived from an amount of blur of width. The shape and motion can be estimated from the motion of feature points. This method uses the sequential SVD factorization to represent the orthogonal matrices that are singular value decomposition. Some experiments have been performed with a sequence of real and synthetic images comparing the presented method with the depth from lens translation. Experimental results have demonstrated the validity and shown the applicability of the proposed method to the depth estimation.

• 한국정보처리학회논문지
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• 제6권12호
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• pp.3718-3726
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• 1999

칼라 영상은 단색조의 영상에 비해 인간의 시각을 크게 향상시킨다. 따라서, 칼라 영상 처리에 관한 연구는 매우 중요하다. 칼라 영상은 센서 잡음이나 채널 전송 에러에 의해 생기는 잡음에 의해 자주 오염되어진다. 이러한 칼라 잡음을 제거하기 위해 벡터 미디안, 평균 필터, 벡터 $\alpha-trimmed$ 평균 필터 등 여러 형태의 필터들이 개발되어왔는데 특히, 혼합된 칼라 잡음의 조건에서 벡터 $\alpha-trimmed$ 평균 필터는 우수한 성능을 보여왔다. 그러나, 벡터 $\alpha-trimmed$ 평균 필터는 필터링 과정이 영상의 전 영역에 걸쳐 동일한 가중치로 균일하게 적용되어지기 때문에 스텝 윤곽선 이동이 일어나고, 이에 따라 blurring 현상이 나타나는 문제점이 있다. 이러한 문제점을 개선하기 위해 본 논문에서는 윤곽선 영역과 평탄 영역을 구분한 뒤 각 영역에 적합한 선택적인 필터링을 하는 조건적인 퍼지 클러스터 필터를 제안하였고, 제안된 조건적인 퍼지 클러스터 필터는 혼합된 잡음의 조건에서 기존의 벡터 $\alpha-trimmed$ 평균 필터에 비해 NCD척도 및 사람의 시각에 의한 평가에 의해 우수한 성능을 보였다.

• 한국멀티미디어학회논문지
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• 제7권12호
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• pp.1745-1753
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• 2004

A method of estimating the pose of a three-dimensional object from a set of two-dimensioal images based on parametric eigenspace method is proposed. A Gaussian blurred edge image is used as an input image instead of the original image itself as has been used previously. The set of input images is compressed using K-L transformation. By comparing the estimation errors for the original, blurred original, edge, and blurred edge images, we show that blurring with the Gaussian function and the use of edge images enhance the data compression ratio and decrease the resulting from smoothing the trajectory in the parametric eigenspace, thereby allowing better pose estimation to be achieved than that obtainable using the original images as it is. The proposed method is shown to have improved efficiency, especially in cases with occlusion, position shift, and illumination variation. The results of the pose angle estimation show that the blurred edge image has the mean absolute errors of the pose angle in the measure of 4.09 degrees less for occlusion and 3.827 degrees less for position shift than that of the original image.

• 대한전자공학회논문지TE
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• 제37권2호
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• pp.25-32
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• 2000

디지털 워터마킹은 멀티미디어 데이터의 저작권 보호 목적으로 최근에 제안되었다. 본 논문에서는 디지털 영상에 저작권 정보를 은닉하는 새로운 방법을 제안한다. 제안한 방법은 2차원 이산 웨이브릿 변환과 영상의 통계적 특성에 기반한다. 가우시안이나 라플라시안 워터마크를 웨이브릿 영역에서 중간이나 고주파 대역의 큰 계수에 삽입한 결과 라플라시안 워터마크는 잡음, JPEG 압축, 가우시안 블러링 그리고 에지 강조와 같은 일반적인 영상 왜곡에 매우 강함이 입증되었다.