• Title/Summary/Keyword: sharpening

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Interpolation of 2D Images : Edge Detection with Subpixel Accuracy (2D 영상 보간 : 부화소 단위의 에지 검출)

  • Kang, Keum-Boo;Lee, Jong-Soo;Choi, Jae-Ho;Yang, Woo-S.
    • Journal of Sensor Science and Technology
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    • v.7 no.5
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    • pp.334-341
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    • 1998
  • In this paper, we present a new interpolation scheme for image enhancement using nonlinear operator. In general, interpolation techniques are based on linear operators which are essentially lowpass filters, hence, they tend to blur fine details in the original image. In our approach, the operator itself balances the strength of its sharpening and noise suppressing components according to the properties of the input image data.

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Speckle Noise Reduction and Edge Enhancement in Ultrasound Images Based on Wavelet Transform

  • Kim, Yong-Sun;Ra, Jong-Beom
    • Journal of Biomedical Engineering Research
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    • v.29 no.2
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    • pp.122-131
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    • 2008
  • For B-mode ultrasound images, we propose an image enhancement algorithm based on a multi-resolution approach, which consists of edge enhancing and noise reducing procedures. Edge enhancement processing is applied sequentially to coarse-to-fine resolution images obtained from wavelet-transformed data. In each resolution, the structural features of each pixel are examined through eigen analysis. Then, if a pixel belongs to an edge region, we perform two-step filtering: that is, directional smoothing is conducted along the tangential direction of the edge to improve continuity and directional sharpening is conducted along the normal direction to enhance the contrast. In addition, speckle noise is alleviated by proper attenuation of the wavelet coefficients of the homogeneous regions at each band. This region-based speckle-reduction scheme is differentiated from other methods that are based on the magnitude statistics of the wavelet coefficients. The proposed algorithm enhances edges regardless of changes in the resolution of an image, and the algorithm efficiently reduces speckle noise without affecting the sharpness of the edge. Hence, compared with existing algorithms, the proposed algorithm considerably improves the subjective image quality without providing any noticeable artifacts.

Blind Watermarking Algorithm Using Wavelet Transform (웨이브릿 변환을 이용한 브라인드 워터마킹 알고리즘)

  • 김재홍;이재현;김동서;주낙근
    • Proceedings of the Korea Contents Association Conference
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    • 2003.05a
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    • pp.214-217
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    • 2003
  • In this paper, we proposed an efficient blind watermarking algorithm using wavelet transform. The proposed algorithm inserts watermark into the high frequency subbands that were transformed by 1-level wavelet transform of original image. Watermark insertion is achieved by exchanging each the corresponding coefficients in the HL, LH, HH subbands according to be inserted watermark value. And watermark is extracted by the relation of wavelet coefficients without original image. Experimental results demonstrate that watermarked image has a good quality not to be able to be perceptible and is robust various attacks such as JEPG lossy compression, clipping and sharpening.

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Phased Segmentation of Human Organs On the MDCT Scans (흉부 MDCT 영상을 이용한 신체 장기의 단계별 분할)

  • Shin, Min-Jun;Kim, Do-Yeon
    • Journal of Korea Multimedia Society
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    • v.14 no.11
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    • pp.1383-1391
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    • 2011
  • Following the appearance of the latest medical equipment with improved function, the importance of image analysis which enables effective image processing and analysis consistent with the hardware performance is on the rise. As well as, ongoing study is being done on the 2D medical image processing and 3D reconstruction. This paper segments chest CT images into each stage and finally shows 3D reconstruction of each segmented result. Among various image segmentation methods, Region Growing and apply sharpening and Gamma Controller as for image improvement for effective segmentation, image segmentation in order of bronchus and lung, bronchus, lung. Human organs image of segmented is use VTK(Visualization Toolkit) to make 3D reconstruction, two and three-dimensional medical image processing and analysis for lesions diagnosis are able to utilized.

Contents-based digital still-image protection using OCL (OCL을 이용한 콘텐츠 기반의 정지영상 보호 기법 연구)

  • Yoo, Hyouck-Min;Shin, Jin-Wook;Park, Dong-Sun;Yoon, Sook
    • Korean Journal of Cognitive Science
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    • v.21 no.1
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    • pp.145-156
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    • 2010
  • This paper presents a new contents-based digital still image protection method which includes a copyright message. Since the existing method using gradient values used a pixel based $3{\times}3$ Sobel operator, it was sensitive to attacks and could not extract exact copyright message. Therefore, in this paper, we present a algorithm which uses block based OCL(Orientation Certainty Level) instead of pixel. The experimental results show that the proposed scheme not only has good image quality, but also is robust to JPEG lossy compression, filtering, sharpening, blurring and noise. Moreover, the proposed algorithm has good performance more than 10% in rotation attacks than the existing method.

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Performance Comparison of Frequency-Based Watermarking Methods (주파수 기반 워터마킹 기법의 성능 비교)

  • Yim, Kyoung-Jin;Choi, Tae-Young
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.38 no.5
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    • pp.65-76
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    • 2001
  • In this paper, performance of frequency-based watermarking methods is compared, which are used to protect copyright of image data. For performance comparison of each transform method, a test image is transformed into frequency domain by a full- and block-discrete cosine transforms and wavelet transform, and after general image processing, robustness of each transform is evaluated with using the same watermark signals. Simulation results show that the watermarking method based on DCTs are more robust than WT. Especially, $8{\times}8$ BDCT is most robust for JPEG lossy compression and sharpening, while $8{\times}8$ FDCT is best. for smoothing and scaling. In addition, watermarking based on BDCT shows decreasing robustness for a larger block size, compared with general image processing.

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DCT Domain Zero-Watermarking based on CRT (CRT 기반의 DCT 영역 제로-워터마킹)

  • Kim, Hyoung-Do;Sohn, Kyu-Seek
    • The Journal of the Korea Contents Association
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    • v.11 no.1
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    • pp.9-15
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    • 2011
  • Zero-watermarking is a digital watermarking technique that can escape from data distortion and quality degradation by no watermark insertion into digital images to be watermarked. This paper proposes DCT0CRT, a CRT-based zero-watermarking technique in the domain of DCT. One of the DC and low-frequency AC coefficients of each DCT block chosen in chaotic way from an image is selected by testing whether it satisfies the CRT-based condition matching with the watermark bit to be embedded. Such selection information forms a key to extract the watermark from the watermarked image. Experimental results show that the image quality watermarked by DCT0CRT is better than that watermarked by any other CRT-based watermarking techniques and the inserted watermark is robust against some common attacks such as sharpening, blurring, and JPEG lossy compression.

Pyramid Image Coding Using Edge Information (Edge 정보에 근거한 피라미드 영상부호화)

  • Kim, Hae-Sung;Kim, Nam-Chul
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.10
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    • pp.1225-1233
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    • 1988
  • In this paper, several simple approaches to Laplacian pyramid coding have been presented for obtaining reasonably acceptable image quality even at low bit rates of 0.3-0.5 bits/pel. For this purpose, the feedback construction of each Lapliacian plane, 3-dimensional prediction and three-level center-clipping quantization are introduced into the coding procedures. For greatly reducing the bit rate of the bottom layer, two new schemes of conditional transmission and edge sharpening without transmission are used. In experiments, our latter sheme has yielded the total bit rate of about 0.3 bits/pel while retaining reasonably acceptable image quality.

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Towards a Paradigm Shift in Social Environmental Education: From the Deep Ecological Perspective (사회환경교육의 새로운 패러다임 모색: 심층생태론의 관점에서)

  • 정수복
    • Hwankyungkyoyuk
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    • v.14 no.1
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    • pp.92-106
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    • 2001
  • The main goal of this paper is to suggest a new path to new ecological paradigm in social environmental education. The old paradigm of environmental education consists of two elements. The first element is emphasis on the seriousness and urgency of environmental problems while the second one is the presentation of concrete action programs as solutions of environmental problems. The missing point of this paradigm is the internal process of meaning construction of actors. Any kind of social action must be based on the meaning which the actors gives to their own action. Becoming an environmentally conscious actor, therefore, actor himself needs to interpret the world from the new perspective. In this paper, we call the change of worldview in the deepest sense 'conversion'. Ecological conversion means shift from anthropocentrism to ecocentrism. In the following sections, main characteristics of ecological world view are specified and some examples of ecological confessions which reveal ecological world view are presented. In this last section, 7 ways of lifestyle change which can facilitate ecological conversion are suggested: 1) trying to be alone for a while everyday; 2) making peaceful state of mind; 3) sharpening the 'green sensitivity'; 4) creating slow way of life; 5) choosing voluntary simplicity; 6)raising spirituality; 7) practicing sharing and caring. Social environmental education in the new ecological paradigm could be considered as a starting point towards a civilizational shift from the dominant materialist civilization to the post-material ecological civilization.

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Image Enhancement using Automatic Unsharp Masking (Automatic Unsharp masking을 이용한 영상 개선)

  • Park, Hyun-Jun;Kim, Mi-Kyung;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.985-988
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    • 2007
  • This paper presents techniques to make image enhancement using unsharp masking. It is the technique to make image enhancement by automatically find the three parameters that makes hard to use the unsharp mask technique. To optimize the three parameters(Threshold, Amount, Radius), at first classify the pixels in the image to three groups, and then according to the groups, apply the unsharp mask to the image differently. We experimented and analyzed the rate of image enhancement by comparing images which is enhanced by human and which is enhanced by proposed technique.

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