• Title/Summary/Keyword: 웨이브릿 압축

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A Study on Wavelet Transform Based Nonfragile Watermarking (웨이브릿변환 비연성 워터마킹에 관한 연구)

  • Kang, Hwan-Il;Kim, Kab-Il;Kang, Hwan-Soo
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2927-2929
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    • 2000
  • 정보보호를 위해 비연성 디지털 워터마킹 방법으로 웨이브릿 변환을 많이 사용하고 있다. 본 연구에서는 여러 웨이브릿 변환인 드비시(Daubechies)변환, Coiflets 변환, Symlets 변환과 biorthogonal 변환등을 이용하여 비연성 디지털 워터마킹기법을 구성하고 각 변환의 특징과 성능비교를 한다. 공격의 형태는 dct변환 압축에 의한 영향에 의한 워터마킹의 보존여부에 관하여 고찰한다.

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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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Medical Image Compression in the Wavelet Transform Domain (Wavelet 변환 영역에서 의료영상압축)

  • 이상복;신승수
    • The Journal of the Korea Contents Association
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    • v.2 no.4
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    • pp.23-29
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    • 2002
  • This paper suggest the image compression that is needed to process PACS in medical information system. The image decoding method is used Linear-predictor and Lloyd-Max quantizer(quantization) in the Wavelet transform domain. Wavelet Transform Method is processed the multi-resolution by dividing image into 10 sub-bands of 3 levels. Low frequency domain that is sensitive to human visual characteristic is encoded by DPCM which is lossless encoding methods, and Lloyed-Max quantizer, the optimal quantizer for reducing ringing and aliasing in the image of inter sub-band, is used in the remaining high frequency domain of sub-band. The examination verifies that decompressed images are superior by the result that PSNR is 28.53dB on the input image, 512$\times$152 abdominal CT image and Chest image.

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Residual Image Compression based on Wavelet Transform (웨이브릿 변환을 이용한 스테레오 영상 압축)

  • 정한조;유지상;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4B
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    • pp.763-770
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    • 2000
  • In this paper, a new stereo image compression algorithm is suggested in which the residual image extracted from the stereo image by the disparity-compensated prediction method is compressed using the wavelet transform considering the inter & intra correlation between subbands. The compression performance of the proposed method is significantly improved by comparing with the conventional algorithm such as EPIC, EPWIC & JPEG through the computer simulation and the PSNR is also increased about 3.5dB compared with the EPIC. Finally, the stereo image having a good 3D effect can be reconstructed from the compressed image data by the proposed method.

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Wavelet-Based Fast Fractal Image Compression with Multiscale Factors (레벨과 대역별 스케일 인자를 갖는 웨이브릿 기반 프랙탈 영상압축)

  • 설문규
    • Journal of the Korea Computer Industry Society
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    • v.4 no.4
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    • pp.589-598
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    • 2003
  • In the conventional fractal image compression in the DWT(discrete wavelet transform), the domain and range blocks were classified as B${\times}$B block size first before all domain block for each range block was searched. The conventional method has a disadvantages that the encoding time takes too long, since the domain block for entire image was searched. As an enhancement to such inefficiencies and image quality, this paper proposes wavelet-based fractal image compression with multiscale factors. Thus, this proposed method uses multiscale factor along each level and band to enhance an overall image quality. In encoding process of this method, the range blocks are not searched for all the domain blocks; however, using the self affine system the range blocks are selected from the blocks in the upper level. The image qualify of the conventional method is 32.30[dB], and the proposed method is 35.97[dB]. The image quality is increased by 3.67[dB].

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3D volumetric medical image coding using unbalanced tree structure (불균형 트리 구조를 이용한 3차원 의료 영상 압축)

  • Kim Young-Seop
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.4
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    • pp.567-574
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    • 2006
  • This paper focuses on lossy medical image compression methods for medical images that operate on three-dimensional(3-D) irreversible integer wavelet transform. We offer an application of unbalanced tree structure algorithm to medical images, using a 3-D unbalanced wavelet decomposition and a 3-D unbalanced spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method. We have tested our encoder on volumetric medical images using different integer filters and 16 coding unit size. The coding unit sizes of 16 slices save considerable dynamic memory(RAM) and coding delay from full sequence coding units used in previous works. If we allow the formation of trees of different lengths, then we can accomodate more transaxial scales than three. Then the encoder and decoder can then keep track of the length of the tree in which each pixel resides through the sequence of decompositions. Results show that, even with these small coding units, our algorithm with I(5,3)filter performs as well and better in lossy coding than previous coding systems using 3-D integer unbalanced wavelet transforms on volumetric medical images.

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3-D Lossy Volumetric Medical Image Compression with Overlapping method and SPIHT Algorithm and Lifting Steps (Overlapping method와 SPIHT Algorithm과 Lifting Steps을 이용한 3차원 손실 의료 영상 압축 방법)

  • 김영섭
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.3
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    • pp.263-269
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    • 2003
  • This paper focuses on lossy medical image compression methods for medical images that operate on three-dimensional(3D) irreversible integer wavelet transform. We offer an application of the Set Partitioning in Hierarchical Trees(SPIHT) algorithm〔l-3〕to medical images, using a 3-D wavelet decomposition and a 3-D spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method, where careful scaling and truncations keep the integer precision small and the transform unitary. As the compression rate increases, the boundaries between adjacent coding units become increasingly visible. Unlike video, the volume image is examined under static condition, and must not exhibit such boundary artifacts. In order to eliminate them, we utilize overlapping at axial boundaries between adjacent coding units. We have tested our encoder on medical images using different integer filters. Results show that our algorithm with certain filters performs as well. The improvement is visibly manifested as fewer ringing artifacts and noticeably better reconstruction of low contrast.

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Hardware Design and Implementation of Discrete Wavelet Transform Using Pipelining (파이프라인을 이용한 이산 웨이블렛 변환 하드웨어 설계 및 구현)

  • Kim, Seok;Yi, Kang
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06b
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    • pp.381-384
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    • 2007
  • 본 논문에서는 최신 정지영상 압축표준인 JPEG2000에 이용되는 알고리즘인 이산 웨이블렛 변환(이하이산 웨이브릿 변환)을 위한 전용 하드웨어의 파이프라인 설계를 제안한다. 본 연구에서는 3-level 이산 웨이브릿 변환기를 효과적으로 설계하기 위해서 파이프라라인 기법으로 데이터의 처리속도를 개선하였다. Xilinx FPGA를 대상으로 한 실험 결과 면적은 약 24%증가된 반면에 throughput은 약 50%정도 향상되었다.

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Fractal Image Coding in Wavelet Transform Domain Using Absolute Values of Significant Coefficient Trees (유효계수 트리의 절대치를 이용한 웨이브릿 변화 영역에서의 프랙탈 영상 압축)

  • Bae, Sung-Ho;Kim, Hyun-Soon
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.4
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    • pp.1048-1056
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    • 1998
  • In this paper, a fractal image coding based on discrete wavelet transform is proposed to improve PSNR at low bit rates and reduce computational complexity of encoding process. The proposed method takes the absolute value of discrete wavelet transform coefficients, and then constructs significant coefficients trees, which indicate the positions and signs of the significant coefficients. This method improves PSNR and reduces computational complexity of mapping contracted domain pool onto range block, by matching only the significant coefficients of range block to coefficients of contracted domain block. Also, this paper proposes a classification scheme which minimizes the number of contracted domain blocks compared with range block. This scheme significantly reduces the number of range and contracted domain block comparison.

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Wavelet-Based Digital Watermarking Method (웨이브릿 기반 디지털 워터마킹 방법)

  • 이경훈
    • Journal of the Korea Computer Industry Society
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    • v.3 no.7
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    • pp.871-880
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    • 2002
  • In this paper, I proposed the adaptive watermarking based on the discrete wavelet transform for the very robust watermarking against intentional distortion which attacks on image. A watermark is an binary image such as document(sign), and such watermark image is embedded in the LH and HL band of wavelet transformed domain for copyright protection of image data. To evaluate robustness of the proposed method, we applied some basic algorithm of image processing such as brightening, darkening, sharpening, blurring, cropping, histogram equalizing and lossy compression(JPEG, gif). As a result of experiment, the proposed method has the good image quality and the high perceptibility of watermark. It was demonstrated by experiments that the proposed algorithm can provide an excellent protection under various attacks.

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