• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.212-214
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• 2000

본 논문은 웨이브릿을 기반으로 하는 EZW(Embedded Zerotree Wavelet) 복호기의 설계와 구현에 대하여 소개한다. EZW 부호화는 zerotree를 이용하는 부호화 방법으로서 웨이브릿 변환된 영상이 지니고 있는 계수의 특징을 잘 활용한 부호화 방법이다. EZW 복호화는 EZW 부호화와 대칭 관계를 갖는 구조로 구성되어 있다. EZW 복호기는 부호화의 결과로 생성된 파일의 bit stream을 입력으로 받아서 dominant와 subordinate pass로 구성된 2-pass의 EZW 복호화 과정을 수행하여 부호화 이전의 웨이브릿 변환된 입력 영상의 계수값을 복원한다. 복원된 웨이브릿 변환된 영상의 계수 값은 IDWT(Inverse Discrete Wavelet Transform)를 수행하여 부호화 되기 이전의 원래의 영상으로 재구성된다.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.57-66
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• 2002

In this paper, we propose a method for the improvement of EZW encoding algorithm. The EZW algorithm encodes wavelet coefficients using 4 symbols such as POS(POsitive), NEG(NEGative), IZ(Isolated Zero), and ZTR(ZeroTreeRoot) which are determined by the significance of wavelet coefficients. In this paper, we applied threshold to wavelet coefficients to improve the EZW algorithm. The coefficients below the threshold are adjusted to zero to generate more ZTR symbols in the encoding process. The overall EZW image compression system is constructed using run-length coding and arithmetic coding. The system shows remarkable results for various images. We finally present experimentation results.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.287-290
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• 2000

본 논문은 threshold 에 기반한 (threshold-adjusted) EZW(Embedded Zerotree Wavelet) 부호화 모듈의 설계와 구현에 대하여 소개한다. EZW 부호화는 먼저 입력된 정지 영상에 대하여 Haar 웨이브릿 변환을 수행한다. Haar 웨이브릿 변환된 영상은dominant와 subordinate의 2-pass과정을 거쳐 zerotree를 구성함으로서 EZW 부호화 과정을 수행한다. Threshold에 기반한 EZW는 부호화 과정에서 인간의 시각 체계를 고려하여 threshold 값을 적절히 조절함으로서 효율적인 출력 영상을 얻을 수 있도록 구현하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2641-2646
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• 2011

In this paper, we studied that the EZW algorithm based in HWT was proposed effective compression technique of wavelet transformed image. The proposed Haar-EZW algorithm is that image was coding by zerotree coding technique using self-similarity of HWT coefficients. If the HWT coefficient is larger than the threshold, that is coding to POS. If the HWT coefficient is smaller than the threshold, that is coding to NEG. If the HWT coefficient is larger than the root of zerotree, that is coding to ZTR. If the HWT coefficient is smaller then the threshold, and if that is not the root of zerotree, that is coding to IZ. This process is repeated until all the HWT coefficients have been encoded completely. This paper is compared Haar-EZW algorithm with Daubechies and Antonini. As the results of compare, it is shown that the PSNR of the Haar-EZW algorithm is better than Daubechies's and Antonini's.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.1
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• pp.43-50
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• 2005

We proposed a method for embedding coded binary data into EZW bitstreams and extracting embedded data from EZW bitstreams using the traditional EZW decoder. EZW coder have two passes. The first pass, the dominant pass have four symbols, P, N, IZ, ZTR. The second pass is sub-ordinary pass which specifies the value of symbol. In the proposed methods, we use ZTR symbol in the dominant pass. We embed watermark into ZTR symbol in the highest frequency band which original image is transferred by wavelet transform. The proposed digital watermarking method shows good properties for robustness in the low bit rate. Accordingly, based on the proposed digital watermarking, video and 3D image watermarking will become a new area for research in the near future.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2311-2314
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• 2003

In this paper, the embedded zero-tree wavelet image compression method using multi- threshold is proposed, which can reduce the scanning and symbol redundancy of the existing embedded zero-tree wavelet (EZW) method and enable more efficient coding. In the proposed scheme, a multi-threshold is constructed with the maximum absolute values from each subband decomposed by the wavelet transforms of the input image data. The multi-threshold values are compared with the threshold value T$_1$ in each pass in Successive Approximation Quantization (SAQ) to select the significant subbands, which are only used for the subsequent coding processes, therefore, can reduce the coding redundancy in the existing EZW. By the experimental results, it is verified that the proposed multi-threshold EZW method shows superior performances to the existing EZW method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.2
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• pp.415-419
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• 2007

Data compression is very important for the storage and transmission of informations. EZW image compression algorithm has been widely used in real application due to its high compression performance. In the EZW algorithm, when a new significant coefficient is generated, its children are all encoded, although its all descendants may be insignificant, and thus its performance is declined. In this paper, we proposed an improved EZW algorithm using IS(Isolated Significant) symbol, which checks all descendants of significant coefficient and avoids encoding the children of each newly generated significant coefficient if it has no significant descendant.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.1
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• pp.63-70
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• 2001

EZW(Embedded coding using Zero-trees of Wavelet coefficients) decreases symbol-position information using zero-trees, but threshold value fall lot raising resolution, then coding cost of significant coefficients is expensive. To avoide this fact, this paper uses quad-tree representing coefficient-position information. a magnitude of significant coefficient is represented on matrix used at EZW. the proposed algorithm is hoped for raising a coding cost.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6C
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• pp.785-792
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• 2004

In this paper, we propose a fast and efficient method that improves the performance of embedded zerotree wavelet(EZW) algorithm introduced by Sharipo． In the EZW algorithm, two bits are allocated for a symbol, but it is inefficient for compression and the zerotree coding wastes much time at encoding. In this paper, in order to increase the efficiency of compression, it will be allocated a variable bit for a symbol at each subband. To reduce the encoding time, we use a backscan method and lifting scheme instead of filter bank in wavelet transform. Experimental result are shown that the algorithm suggested in this paper has a better performance about 0.3∼1.5㏈ PSNR while the encoding time was speeded up more than 2-10 times compared with the EZW algorithm.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.442-449
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• 2002

EZW (Embedded Zerotree Wavelet) is an efficient algorithm to encode wavelet-transformed image. In this algorithm, each coefficient of wavelet transformed image is given one of the specific symbols and encoded according to its significant priority. In this paper, we analysis the occurrence conditions of symbols in EZW and propose a modified EZW algorithm. In the proposed algorithm, the significance of an IZ (Isolated Zero) symbol is determined by the additional conditions as well as its absolute value. The occurrence of IZ symbols is decreased and the required bits for insignificant IZ symbols is saved, so we obtained good quality of the reconstructed image.