• Title/Summary/Keyword: 웨이블릿 패킷 변환

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A Study of Image Coding Technique Using Adaptive Wavelet Transform (적응적 웨이블릿 변환을 사용한 영상 코딩 기법에 관한 연구)

  • 김혜경;이옥경;오해석
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.386-388
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    • 1999
  • 본 논문은 이미지 데이터의 효율적인 코딩에 대한 새로운 방법을 나타낸다. 웨이블릿 변환을 기초로 한, 알고리즘은 서브밴드 간의 남아 있는 상관관계를 이용한다. 웨이블릿 계수들에 대한 성공적인 대략값은 계층적인 심볼 스트림을 초래하고, 그것은 PSD(의미있는 자손에 대한 예언)과 함께 매우 높게 압축된다. 코딩 알고리즘은 이미지 컨텐트에 대한 높은 적응성에 의해 그 자체를 구별한다. 초래하는 비트스트림은 그것들의 중요도에 대한 순서에 있어서 모든 이미지 정보를 구성한다. 그러므로 그것은 위험한 디코딩 과정 없이 어떤 지점에서 절단하는 것이 가능하다. 이러한 내장된 비트스트림의 이점은 공간적인 규모성(scalability)과 왜곡율이다. 좀 더 나은 향상은 웨이블릿 패킷으로 알려진 새로운 적응적인 웨이블릿 변환을 사용하여 획득된다. 초기의 기법들과 적합하지 않은 현재의 서브밴드에 대한 관련성있는 통계적인 특성들(특히 상관관계)은 처음으로 분석된다. 그것들에 의존하는, 서브밴드가 분해 유무에 관계없이 분해 결정이 만들어진다. 이러한 결과는 최고의 기본적인 선택이 아니고 최적에 가까운 분해 구조를 초래한다. 본 논문에서 제안한 모델의 가장 주요한 이점은 계산적인 비용의 축소이다.

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Wavelet Packet Image Coder for Digital Contents Using Coefficients Partition Scan Order (계수분할을 이용한 디지털 컨텐츠의 웨이블릿 패킷 영상압축)

  • 한수영;이두수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.3
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    • pp.47-52
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    • 2003
  • In this paper. a new wavelet packet image coder is proposed for images that include many high-frequency components using the relation between subbands. The new algorithm presents parent-child relationship for reducing image reconstruction error using relations between individual frequency subbands. By parent-child relationship, every coefficient is partitioned and encoded for the zerotree structure. It demonstrates higher PSNR under the same bit rate. These results show that the encoding process of the proposed coder is more accurate than the conventional ones for images that include many high-frequency elements.

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Digital Hologram Encryption using Discrete Wavelet Packet Transform (이산 웨이블릿 패킷 변환을 이용한 디지털 홀로그램의 암호화)

  • Seo, Young-Ho;Choi, Hyun-Jun;Kim, Dong-Wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11C
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    • pp.905-916
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    • 2008
  • In this paper, we propose a new method which estimates and encrypts significant component of digital hologram using discrete wavelet packet transform (DWPT). After analyzing the characteristics of digital hologram in spatial and frequency domain, the required information for ciphering digital hologram was extracted. Based on this information an ciphering method was proposed with wavelet transform and packetization of subbands. The proposed algorithm can encrypt digital hologram in various robust from selecting transform-level and energy threshold. From analyzing the encryption effect numerically and visually, the optimized parameter for encryption is presented. Without additional analyzing process, one can encrypt efficiently digital hologram using the proposed parameter. Although only 0.032% among total data is encrypted, the reconstructed object dose not identified. The paketization information of subbands and the cipher key can be used for the entire secret key.

Ultrasonic Rangefinder Spike Rejection Method Using Wavelet Packet Transform (웨이블릿 패킷 변환을 이용한 초음파 거리계 스파이크 제거 기법)

  • Kim, Sung-Hoon;Hong, Gyo-Young
    • Journal of Advanced Navigation Technology
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    • v.20 no.4
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    • pp.298-304
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    • 2016
  • In this paper, a wavelet packet transform method is proposed for improving the altitude control performance of quadrotor UAV using an ultrasonic rangefinder. A ground tests are conducted using an ultrasonic rangefinder that is much used for vertical takeoff and landing. An ultrasonic rangefinder suffers from signal's spike due to specular reflectance and acoustic noise. The occurred spikes in short time span need to be analyzed at both sides time and frequency domain. The analyzed spikes of the ultrasonic rangefinder using a wavelet packet transform. Compared with the discrete wavelet transform, the wavelet packet decomposition can obtain more abundant time-frequency localization information, so it is more suitable for analyzing and processing ultrasonic signals spike. Experimental results show that it can effectively remove the spikes of the ultrasonic rangefinder.

Image Denosing Based on Wavelet Packet with Absolute Average Threshold (절대평균임계값을 적용한 웨이블릿 패킷 기반의 영상 노이즈 제거)

  • Ryu, Kwang-Ryol;Sclabassi, Robert J.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.605-608
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    • 2007
  • The denoising for image restoration based on the Wavelet Packet with absolute average threshold is presented. The Existing method is used standard deviation estimated results in increasing the noise and threshold, and damaging an image quality. In addition that is decreased image restoration PSNR by using the same threshold in spite of changing image because of installing a threshold in proportion of noise size. In contrast, the absolute average threshold with wavelet packet is adapted by changing image to set up threshold by statistic quantity of resolved image and is avoided an extreme impart. The results on the experiment has improved 10% and 5% over than the denoising based on simple wavelet transform and wavelet packet respectively.

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Watermarking Algorithm using Power of Subbands Decomposed by Wavelet Packet and QIM (웨이블릿 패킷 변환한 후의 대역별 에너지와 QIM을 이용한 워터마킹 알고리즘)

  • Seo, Ye-Jin;Cho, Sang-Jin;Chong, Ui-Pil
    • Journal of Korea Multimedia Society
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    • v.14 no.11
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    • pp.1431-1437
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    • 2011
  • This paper proposes a novel watermarking algorithm that protects digital copyrights and is robust to attacks. Watermarks are embedded in the subband including the significant part of the signal such as a pitch. Generally, the subband containing the pitch has the biggest energy. In order to find this subband, wavelet packet transform is used to decompose the subbands and their energy are calculated. The signal of the selected subbands is transformed in frequency domain using FFT. The watermarks are embedded using QIM for samples higher than a certain threshold. The blind detection uses the Euclidean distance. The proposed method shows less than 5% BER in the audio watermark benchmarking.

Hardware Architecture of High Performance Cipher for Security of Digital Hologram (디지털 홀로그램의 보안을 위한 고성능 암호화기의 하드웨어 구조)

  • Seo, Young-Ho;Yoo, Ji-Sang;Kim, Dong-Wook
    • Journal of Broadcast Engineering
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    • v.17 no.2
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    • pp.374-387
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    • 2012
  • In this paper, we implement a new hardware for finding the significant coefficients of a digital hologram and ciphering them using discrete wavelet packet transform (DWPT). Discrete wavelet transform (DWT) and packetization of subbands is used, and the adopted ciphering technique can encrypt the subbands with various robustness based on the level of the wavelet transform and the threshold of subband energy. The hologram encryption consists of two parts; the first is to process DWPT, and the second is to encrypt the coefficients. We propose a lifting based hardware architecture for fast DWPT and block ciphering system with multi-mode for the various types of encryption. The unit cell which calculates the repeated arithmetic with the same structure is proposed and then it is expanded to the lifting kernel hardware. The block ciphering system is configured with three block cipher, AES, SEED and 3DES and encrypt and decrypt data with minimal latency time(minimum 128 clocks, maximum 256 clock) in real time. The information of a digital hologram can be hided by encrypting 0.032% data of all. The implemented hardware used about 200K gates in $0.25{\mu}m$ CMOS library and was stably operated with 165MHz clock frequency in timing simulation.

EEG Data Compression Using the Feature of Wavelet Packet Coefficients (웨이블릿 패킷 분해를 이용한 EEG 신호압축)

  • Cho, Hyun-Sook;Lee, Hyoung;Hwang, Sun-Tae
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.159-168
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    • 2003
  • This paper is concerned with the compression of EEG signals using wavelet-packet based techniques. EEG data compression is desirable for a number of reasons. Primarily it decreases for transmission time, archival storage space, and in portable systems, it decreases memory requirements or increases channels and bandwidth. Upon wavelet decomposition, inherent redundancies in the signal can be removed through thresholding to achieve data compression. We proposed the energy cumulative function for deciding of the threshold value and it works very innovative of EEG data.

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Improvement of Strain Detection Accuracy of Aircraft FBG Sensors Using Stationary Wavelet Transform (정상 웨이블릿 변환을 이용한 항공기 FBG 센서의 변형률 탐지 정확도 향상)

  • Son, Yeong-Jun;Shin, Hyun-Sung;Hong, Gyo-Young
    • Journal of Advanced Navigation Technology
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    • v.23 no.4
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    • pp.273-280
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    • 2019
  • There are many studies that use structure health monitoring to reduce maintenance costs for aircraft and to increase aircraft utilization. Many studies on FBG sensors are also being conducted. However, if the FBG sensor is installed inside the composite, voids will occur between the layers of the composite, resulting in signal split problem. In addition, the FBG sensor is not affected by electromagnetic waves, but will produce electromagnetic noise caused by electronic equipment during post-processing. In this paper, to reduce the error caused by these noises, the stationary wavelet transform, which has the characteristics of movement immutability and is efficient in nonlinear signal analysis, is presented. And in the above situation, we found that noise rejection performance of stationary wavelet transform was better compared with the wavelet packet transform.

Grid Noise Removal in Computed Radiography Images Using the Combined Wavelet Packet-Fourier Method (CR영상에서 웨이블릿 패킷-푸리에 방법을 이용한 그리드 잡음 제거)

  • Lee, A Young;Kim, Dong Youn
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.11
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    • pp.175-182
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    • 2012
  • The scattered radiation always occurs when X-ray strikes the object. To absorb the scattered X-rays, the antiscatter grids are used, however these grids images are superimposed in the projection radiography images. When those images are displayed on the monitor, moir$\acute{e}$ patterns are overlapped over the images and disturb the anatomical informations. Most of the researches performed to date removed the grid noises by calculating or observing those frequencies in one dimensional frequency domain, two dimensional wavelet transform or Fourier transform. Those methods filtered not only the grid noises but also diagnostic informations. In this paper, we proposed the combined wavelet packet-Fourier method to remove the grid artifact in CR images. For the phantom image, the proposed method achieved from 5.2 to 7.4 dB better than others in SNR and for CR images by rejecting the grid noise bands effectively while leaving the remaining bands unchanged, the loss of images could get minimal results.