• Title/Summary/Keyword: blurring boundary

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Can Rubbish Become Art?: David Hammons's 'Homeless' Art (쓰레기도 예술이 되나요?: 데이비드 해몬즈의 '홈리스' 아트)

  • Rhee, Jieun
    • The Journal of Art Theory & Practice
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    • no.15
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    • pp.31-49
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    • 2013
  • This paper delves into the recent 'paintings' of African-American artist David Hammons, which combine rubbish-like plastic wraps with the abstract-expressionist style paintings. In straddling between rubbish and art object, his works tend to blur the boundary drawn between two opposite categories in value, art and garbage, provoking the sophisticated taste of Upper-East-side white community in Manhattan, New York. Choosing the venue of his exhibition at a commercial gallery, Hammons's creative efforts is also a critique of what can be seen as the dominance of abstract expressionism and white elitism in American art history. The artist is known for his use of unconventional materials in art making such as black hair, barbecue bones, and elephant droppings, ones that are often associated with African-American experiences in all different levels. Since his debut in the art scene in the 1970s, Hammons has pursued the view of art-making as a medium for provoking contentious issues of racial relations in the States. On the other hand, the reception of Hammons's work as African-American art can be potentially quite limiting, overlooking as it does multi-faceted meanings of his art practice. His unconventional approach to art often took him outside art galleries and museums, where he was seen using a variety of common materials for site-specific installations and performances. Staged in different parts of Manhattan, these acts of art making traverse seemingly opposite communities and cultures, often blurring their boundaries. Hammons's artistic practice can label him what Abdul Jan Mohamed calls "specular border intellectual", revealing as it does the symbiosis of binary oppositions that is basic to the experience of communnal living.

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A blocking artifacts reduction algorithm using block boundary pixel difference characteristics (블록 경계 화소차값의 특성을 이용한 블록화 현상 제거 알고리즘)

  • 채병조;손채봉;오승준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.5
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    • pp.1299-1309
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    • 1998
  • In this paper, we propose a new approach for reducing the blocking artifact that is one of drawbacks of the block-based Discrete Cosine Transform (DCT) without introducing additional information or significant blurring. We modify the inter-block discontinuity minimization technique to preserve edges within a block as well as to reduce visible block boundaries. The homogeneity of each block is decided by the threshold value reated to Q-factor, which is included in a JPEG as well as MPEG streams. The quantization error is estimated by minimizing the discontinuity, which is weighted in proportion to block discontinuity and added to each pixel in the block to compensate block artifacts. The proposed algorithm reconstructs images which have less noticeable block boundaries from a subjective viewpoit without anyconstraints.

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Using Bayesian Approaches to Reduce Truncation Artifact in Magnetic Resonance Imaging

  • Lee, Su-Jin
    • Journal of Biomedical Engineering Research
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    • v.19 no.6
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    • pp.585-593
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    • 1998
  • In Fourier magnetic resonance imaging (MRI), the number of phase encoded signals is often reduced to minimize the duration of the studies and maintain adequate signal-to-noise ratio. However, this results in the well-known truncation artifact, whose effect manifests itself as blurring and ringing in the image domain. In this paper, we propose a new regularization method in the context of a Bayesian framework to reduce truncation artifact. Since the truncation artifact appears in t도 phase direction only, the use of conventional piecewise-smoothness constraints with symmetric neighbors may result in the loss of small details and soft edge structures in the read direction. Here, we propose more elaborate forms of constraints than the conventional piecewise-smoothness constraints, which can capture actual spatial information about the MR images. Our experimental results indicate that the proposed method not only reduces the truncation artifact, but also improves tissue regularity and boundary definition without oversmoothing soft edge regions.

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Adaptive Interpolation for Intra Frames in H.264 Using Interference Function (H.264 인트라 프레임에서 방해함수를 이용한 적응적 보간)

  • Park Mi-Seon;Yoo Jae-Myeong;Toan Nguyen Dinh;Kim Ji-Soo;Son Hwa-Jeong;Lee Guee-Sang
    • The Journal of the Korea Contents Association
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    • v.6 no.10
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    • pp.107-113
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    • 2006
  • Error Concealment method for Intra frames in H.264 reconstructs the lost block by computing weighted average value of the boundary pixels of the neighboring blocks; up, bottom, left and right blocks. However a simple average of pixel values of the neighboring blocks for Intra frames in H.264 leads to excessive blurring and degrades the picture quality severely. To solve this problem, in this paper we estimate the dominant edge of lost block using the pixel values of the neighboring blocks and reconstruct the pixel values by choosing adaptive interpolation between directional interpolation and weighted average interpolation considering the result value of the interference function based on statistics. Finally directional interpolation method improves by determining the dominant edge direction considering the relation of the dominent edge and the edges of neighboring blocks. Experiments show improvement of picture quality of about $0.5{\sim}2.0dB$ compared with the method of H.264.

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Digital Watermarking Technique in Wavelet Domain for Protecting Copyright of Contents (컨텐츠의 저작권 보호를 위한 DWT영역에서의 디지털 워터마킹 기법)

  • Seo, Young-Ho;Choi, Hyun-Jun;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.6
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    • pp.1409-1415
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    • 2010
  • In this paper we proposed the watermarking technique using the markspace which is selected by tree-structure between the subbands in the wavelet domain and feature information in the spatial domain. The watermarking candidate region in the wavelet domain is obtained by the markspace selection algorithm divides the highest frequency subband to several segments and calculates theirs energy and the averages value of the total energy of the subband. Also the markspace of the spatial domain is obtained by the boundary information of a image. The final markspace is selected by the markspaces of the wavelet and spatial domain. The watermark is embedded into the selected markspace using the random addresses by LFSR. Finally the watermarking image is generated using the inverse wavelet transform. The proposed watermarking algorithm shows the robustness against the attacks such as JPEG, blurring, sharpening, and gaussian noise.

An Adaptive De-blocking Algorithm in Low Bit-rate Video Coding (저 비트율 비디오를 위한 적응적 블록킹 현상 제거 기법)

  • 김종호;김해욱;정제창
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.4C
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    • pp.505-513
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    • 2004
  • Most video codecs including the international standards use the block-based hybrid structure for efficient compression. But for low bit-rate applications such as video transmission through wireless channels, the blocking artifacts degrade image qualify seriously. In this paper, we propose an adaptive de-blocking algorithm using characteristics of the block boundaries. Blocking artifacts contain the high frequency components near the block boundaries, therefore the lowpass filtering can remove them. However, simple lowpass filtering results into blurring by removing important information such as edges. To overcome this problem, we determine the modes depending upon the characteristics of pixels adjacent to block boundary then proper filter is applied to each area. Simulation results show that proposed method improves de-blocking performance compared to that of MPEG-4.

Noise Removal Filter Algorithm using Spatial Weight in AWGN Environment (화소값 분포패턴과 가중치 마스크를 사용한 AWGN 제거 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.428-430
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    • 2022
  • Image processing is playing an important part in automation and artificial intelligence systems, such as object tracking, object recognition and classification, and the importance of IoT technology and automation is emphasizing as interest in automation increases. However, in a system that requires detailed data such as an image boundary, a precise noise removal algorithm is required. Therefore, in this paper, we propose a filtering algorithm based on the pixel value distribution pattern to minimize the information loss in the filtering process. The proposed algorithm finds the distribution pattern of neighboring pixel values with respect to the pixel values of the input image. Then, a weight mask is calculated based on the distribution pattern, and the final output is calculated by applying it to the filtering mask. The proposed algorithm has superior noise removal characteristics compared to the existing method and restored the image while minimizing blurring.

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Performance Analysis of Matching Cost Functions of Stereo Matching Algorithm for Making 3D Contents (3D 콘텐츠 생성에서의 스테레오 매칭 알고리즘에 대한 매칭 비용 함수 성능 분석)

  • Hong, Gwang-Soo;Jeong, Yeon-Kyu;Kim, Byung-Gyu
    • Convergence Security Journal
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    • v.13 no.3
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    • pp.9-15
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    • 2013
  • Calculating of matching cost is an important for efficient stereo matching. To investigate the performance of matching process, the concepts of the existing methods are introduced. Also we analyze the performance and merits of them. The simplest matching costs assume constant intensities at matching image locations. We consider matching cost functions which can be distinguished between pixel-based and window-based approaches. The Pixel-based approach includes absolute differences (AD) and sampling-intensitive absolute differences (BT). The window-based approach includes the sum of the absolute differences, the sum of squared differences, the normalized cross-correlation, zero-mean normalized cross-correlation, census transform, and the absolute differences census transform (AD-Census). We evaluate matching cost functions in terms of accuracy and time complexity. In terms of the accuracy, AD-Census method shows the lowest matching error ratio (the best solution). The ZNCC method shows the lowest matching error ratio in non-occlusion and all evaluation part. But it performs high matching error ratio at the discontinuities evaluation part due to blurring effect in the boundary. The pixel-based AD method shows a low complexity in terms of time complexity.

Gaussian Noise Reduction Method using Adaptive Total Variation : Application to Cone-Beam Computed Tomography Dental Image (적응형 총변이 기법을 이용한 가우시안 잡음 제거 방법: CBCT 치과 영상에 적용)

  • Kim, Joong-Hyuk;Kim, Jung-Chae;Kim, Kee-Deog;Yoo, Sun-K.
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.1
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    • pp.29-38
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    • 2012
  • The noise generated in the process of obtaining the medical image acts as the element obstructing the image interpretation and diagnosis. To restore the true image from the image polluted from the noise, the total variation optimization algorithm was proposed by the R.O. F (L.Rudin, S Osher, E. Fatemi). This method removes the noise by fitting the balance of the regularity and fidelity. However, the blurring phenomenon of the border area generated in the process of performing the iterative operation cannot be avoided. In this paper, we propose the adaptive total variation method by mapping the control parameter to the proposed transfer function for minimizing boundary error. The proposed transfer function is determined by the noise variance and the local property of the image. The proposed method was applied to 464 tooth images. To evaluate proposed method performance, PSNR which is a indicator of signal and noise's signal power ratio was used. The experimental results show that the proposed method has better performance than other methods.

A Study on the Cognitive/Affective Personality and Experiential Factors Influencing on Smart Phone Users' Emotional Exhaustion and Education Performance (스마트폰 이용자의 정서적 소진과 학습 성과에 영향을 주는 인지·감성 성향과 사용 경험에 관한 연구)

  • Ming-Yuan Sun;Sundong Kwon;Yong-Young Kim
    • Information Systems Review
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    • v.18 no.4
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    • pp.69-88
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    • 2016
  • Nowadays, organizations have adopted Smart Work to efficiently manage tasks, such as electronic document approval, customer management, and site inspection, without spatial-temporal constraints. Smartphones, which are commonly used in Smart Work, enable individuals to perform their jobs anytime and anywhere, thus blurring the boundary between work and non-work. To solve the problem of blurred work/non-work boundaries, a construct of self-control and affective factors needs to be considered because business style is changed from command to autonomy in the Smart Work context. Moreover, employees can convey their emotions easily over smartphones. Recent marketing studies have analyzed consumers' behavior based on the combination of cognitive, affective, and behavioral components, and researchers of information systems are also interested in these factors. However, previous research has some limitations, such as not classifying factors into cognitive, affective, and behavioral as well as not covering all three factors. Therefore, we explore the roles of cognitive, affective, and behavioral components in emotional exhaustion and education performance, and conduct a survey on undergraduate and graduate students, who are the major users of smartphones. Findings show that when individuals improve their cognitive capability (self-control) and usage experience (smartphone communication and internet usage), they can decrease emotional exhaustion and increase education performance. In the role of affective capability, increasing education performance is partially accepted. These results imply that organizations should not focus on controlling the usage of smartphones but on promoting appropriate smartphone usage.