• 제목/요약/키워드: Image decomposition

검색결과 368건 처리시간 0.028초

Embedded Zerotree Wavelet 알고리즘을 이용한 디지털 워터마킹 (Digital Watermarking Using Embedded Zerotree Wavelet Algorithm)

  • 손영우
    • 디지털콘텐츠학회 논문지
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    • 제7권1호
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    • pp.53-58
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    • 2006
  • 본 논문은 EZW 알고리즘의 특성을 이용하여 영상의 중요 부분을 추출하는 방법과 이 방법에 의해 중요 부분이 추출 되었을 때에 중요 계수에만 워터마크를 삽입하는 방법을 제안하였다. 먼저 영상을 웨이블릿 변환 후 제로 트리 코딩을 하여 중요 계수를 검출하고, 검출된 중요 계수에 워터마크 이진 영상을 삽입하였다. 기존의 방법들은 각 대역내 계수들간의 상관 관계를 이용하여 워터마크를 삽입한 반면, 본 논문에서는 웨이블릿 변환된 영상의 계수 값이 동일한 방향을 갖는 대역 사이에서 상관관계를 갖는다는 점을 이용하여 워터마크를 삽입하였다. 실험 결과, 제안한 방법은 기존의 방식에 비하여 각종 공격에서의 강인함을 보였으며 점진적 전송이 요구되는 분야와 영상 자료를 검색하는 분야에 응용될 수 있을 것으로 기대된다.

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Zero-Watermarking Algorithm in Transform Domain Based on RGB Channel and Voting Strategy

  • Zheng, Qiumei;Liu, Nan;Cao, Baoqin;Wang, Fenghua;Yang, Yanan
    • Journal of Information Processing Systems
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    • 제16권6호
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    • pp.1391-1406
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    • 2020
  • A zero-watermarking algorithm in transform domain based on RGB channel and voting strategy is proposed. The registration and identification of ownership have achieved copyright protection for color images. In the ownership registration, discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) are used comprehensively because they have the characteristics of multi-resolution, energy concentration and stability, which is conducive to improving the robustness of the proposed algorithm. In order to take full advantage of the characteristics of the image, we use three channels of R, G, and B of a color image to construct three master shares, instead of using data from only one channel. Then, in order to improve security, the master share is superimposed with the copyright watermark encrypted by the owner's key to generate an ownership share. When the ownership is authenticated, copyright watermarks are extracted from the three channels of the disputed image. Then using voting decisions, the final copyright information is determined by comparing the extracted three watermarks bit by bit. Experimental results show that the proposed zero watermarking scheme is robust to conventional attacks such as JPEG compression, noise addition, filtering and tampering, and has higher stability in various common color images.

적응 양자화를 이용한 디지털 워터마킹 (Digital Watermarking Using Adaptive Quantization)

  • 황희근;이동규;이두수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.187-190
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    • 2001
  • In this paper, we present a novel digital watermarking technique based on the concept of multiresolution decomposition and Human Visual System(HVS). Proposed watermarking is to embed watermark by quantization, that is to construct ‘perceptually lossless’quantization matrix, by using a quantization factor for each level and orientation and variance within a band. We compare our approach with another wavelet domain watermarking methods. Simulation results show the superior performance of robustness for variety image distortions.

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DECOMPOSITION OF SOME CENTRAL SEPARABLE ALGEBRAS

  • Park, Eun-Mi;Lee, Hei-Sook
    • 대한수학회지
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    • 제38권1호
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    • pp.77-85
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    • 2001
  • If an Azumaya algebra A is a homomorphic image of a finite group ring RG where G is a direct product of subgroups then A can be decomposed into subalgebras A(sub)i which are homomorphic images of subgroup rings of RG. This result is extended to projective Schur algebras, and in this case behaviors of 2-cocycles will play major role. Moreover considering the situation that A is represented by Azumaya group ring RG, we study relationships between the representing groups for A and A(sub)i.

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Classification of the vegetated terrain using polarimetric SAR processing techniques

  • Park Sang-Eun;Moon Wooil M
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.389-392
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    • 2004
  • Classification of Earth natural components within a full polarimetric SAR image is one of the most important applications of radar polarimetry in remote sensing. In this paper, the unsupervised classification algorithms based on the combined use of the polarimetric processing technique such as the target decomposition and statistical complex Wishart classification method are evaluated and applied to vegetated terrain in Jeju volcanic island.

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Feature matching toy Omnidirectional Image based on Singular Value Decomposition

  • Kim, Do-Yoon;Lee, Young-Jin;Myung jin Chung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.98.2-98
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    • 2002
  • $\textbullet$ Omnidirectional feature matching $\textbullet$ SVD-based matching algorithm $\textbullet$ Using SSD instead of the zero-mean correlation $\textbullet$ The similarity with the Gaussian weighted $\textbullet$ Low computational cost $\textbullet$ It describes the similarity of the matched pairs in omnidirectional images.

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독립성분분석(ICA)기법을 이용한 플로팅 구조물 진동특성분석

  • 황재승;정기범
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2011년도 춘계학술대회
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    • pp.187-188
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    • 2011
  • Independent component analysis (ICA) is a method separating the mixture of signals into statistically and mutually independent ones. It has been applied to not only the Cocktail-party problem but also EEG analysis using the EEG waveform, digital signal processing, image processing and cognitive technique field actively. This study aims to propose a procedure to estimate the modal responses and mode shapes of a floating structure by using the ICA method from measured responses of the floating structure.

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AFM을 이용한 폴리술폰막의 표면구조와 상분리현상에 관한 연구 (Surface structure and phase separation mechanism of polysulfone membranes by AFM)

  • 김제영;이환광;김성철
    • 한국막학회:학술대회논문집
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    • 한국막학회 1998년도 추계 총회 및 학술발표회
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    • pp.103-105
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    • 1998
  • Asymmetric polymeric membranes prepared by the phase transition technique usually have either a top layer consisting of closely packed nodules or pores dispersed throughout the membrane surfaces. In this study, we present AFM image of a polysulfone membrane which show a clear evidence for the nodular structure and porous structure resulted from different phase separation mechanisms; spinodal decomposition and nucleation and growth. The surface morphology obtained by SEM and AFM was also compared.

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THE DECISION OF OPTIMUM BASIS FUNCTION IN IMAGE CLASSIFICATION BASED ON WAVELET TRANSFORM

  • Yoo, Hee-Young;Lee, Ki-Won;Jin, Hong-Sung;Kwon, Byung-Doo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.169-172
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    • 2008
  • Land-use or land-cover classification of satellite images is one of the important tasks in remote sensing application and many researchers have been tried to enhance classification accuracy. Previous studies show that the classification technique based on wavelet transform is more effective than that of traditional techniques based on original pixel values, especially in complicated imagery. Various wavelets can be used in wavelet transform. Wavelets are used as basis functions in representing other functions, like sinusoidal function in Fourier analysis. In these days, some basis functions such as Haar, Daubechies, Coiflets and Symlets are mainly used in 2D image processing. Selecting adequate wavelet is very important because different results could be obtained according to the type of basis function in classification. However, it is not easy to choose the basis function which is effective to improve classification accuracy. In this study, we computed the wavelet coefficients of satellite image using 10 different basis functions, and then classified test image. After evaluating classification results, we tried to ascertain which basis function is the most effective for image classification. We also tried to see if the optimum basis function is decided by energy parameter before classifying the image using all basis function. The energy parameter of signal is the sum of the squares of wavelet coefficients. The energy parameter is calculated by sub-bands after the wavelet decomposition and the energy parameter of each sub-band can be a favorable feature of texture. The decision of optimum basis function using energy parameter in the wavelet based image classification is expected to be helpful for saving time and improving classification accuracy effectively.

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JPEG2000 정지영상을 위한 블록 에너지 기반 적응적 이산 웨이블릿 변환 (Adaptive Discrete Wavelet Transform Based on Block Energy for JPEG2000 Still Images)

  • 김대원
    • 융합신호처리학회논문지
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    • 제8권1호
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    • pp.22-31
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    • 2007
  • 본 논문에서는 웨이블릿 변환에 기반을 둔 JPEG2000 정지영상의 압축 시도 시 웨이블릿 변환을 decomposition 하는 레벨과 이를 구성하는 블록의 활성도를 내포하는 에너지에 기반 하여 그 양에 따라 적응적으로 계수 변환 후 복원시 효율적 자원 관리를 통하여 복잡도를 감소시키고 계산량을 줄이는 적응식 DWT 변환 기법을 제안하였다. 수많은 멀티미디어 응용 분야 또는 서비스 중의 하나인 디지털 카메라의 핵심 분야를 차지하고 있는 정지영상 압축 분야에서의 최첨단 기술을 꼽으라면 단연 JPEG2000 표준을 이용한 압축, 전송의 응용 분야이다. JPEG2000 기반의 정지영상압축 전송 표준의 핵심을 이루고 있는 웨이블릿 변환은 기존의 JPEG 표준에 사용된 이산 코사인 변환의 약점인, 복원 시 나타나는 블록킹 문제를 해결한 대안이다. 적응식 DWT 변환을 거친 정지영상이 복원된 후 일반적인 과정의 웨이블릿 변환 후 복원된 영상간의 MSE(Mean Square Error), PSNR(Peak Signal to Noise Ratio), 0의 계수의 개수 등을 비교하여 본 연구에서 제안된 에너지 기반의 적응적 웨이블릿 변환의 우수성을 연산 속도를 계산함으로써 검증하였다.

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