• Title/Summary/Keyword: Digital Filtering

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Adaptive Digital Watermarking for Copyright Protection of Images (영상의 소유권 보호를 위한 내용 기반 적응적 디지털 워터마킹 기법)

  • Kim, Kwang-Baek;Kim, Cheol-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.1A
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    • pp.89-97
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    • 2002
  • This paper proposes the adaptive digital watermarking method for the ownership protection of images. The watermarks are inserted to a selected area rather than a whole area. The proposed method reduces the distortion caused by the watermarking process. To select the regions, roughness of the image should be considered because the watermarks in the smooth regions are easily detected through the human eyes. To find the rough regions, Discrete Cosine Transform (DCT) method is used. Generally, the high frequency regions of images are lost by the compression process such as JPEG. So, the watermarks are inserted to the low frequency regions of a selected area by using the proposed method. The proposed method reduce the image loss or distortion brought by the image processing, such as compression, filtering, scaling, addition of noise, cropping, and wavelet transform.

A Study of Digital EPG Diagnosis Parameter for EPG Standardization (맥진 객관화를 위한 디지탈 맥진기의 진단 파라메터 연구)

  • Lee, J.Y.;Kim, J.H.;Seo, H.W.;Lee, J.W.;Lee, B.C.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3243-3244
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    • 2000
  • From ancient times, the diagnosis method of the oriental medicine has been performed by curing diseases by means of rectifying and adjusting the unbalance in the physiological function of the five viscera and the six bowels of a human body. Diseases have been diagnosed by the condition of blood circulation that cycles a human body through blood vessels by dint of the vitality of the heart. Based on such a systematic pulse diagnosis method, the article presents parameters that will be beneficial to clinical application on the basis of its analysis of the filtering for eliminating noises from pulse signals inputted from sensor group, the digital hardware dealing with signals necessary for recognition algorithm, and the structure of diagnosis algorithm and components of pulse waveform.

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Wavelet Packet Based Watermarking Using PIM (PIM을 이용한 웨이블릿 패킷 기반 워터마킹)

  • 한수영;이두수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.3
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    • pp.61-65
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    • 2003
  • In this paper, a novel watermarking technique that based on wavelet packet transform using PIM is proposed for the copyright of the digital images. We divide wavelet packet coefficients into detailed blocks and calculate the complexity of each block using PIM. Because human is impervious to the change in the complex area, the embedding watermark to the selected coefficients using PIM enhances invisibility. From the experimental results, the proposed algorithm shows better invisibility and robustness performance in a general signal processing such as JPEG and SPIHT lossy compression, median filtering. Especially, it demonstrates better performance for the low bit-rate compression in the images that include many high frequency components.

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The Optimization of Timing Recovery Loop for an MQASK All Digital Receivers (MQASK 디지털 수신기 타이밍 복원 루프 구조의 최적화 연구)

  • Seo, Kwang-Nam;Kim, Chong-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1C
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    • pp.40-44
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    • 2010
  • The timing error detector(TED) employed in the closed loop type timing synchronization scheme for an MQASK all digital receiver suffers from the selfnoise-induced timing jitter. To eliminate the timing jitter a prefilter can be added in front of the TED. The prefilter method, however, degrades the stability and timing acquisition performance due to the loop delay and increases the complexity of the synchronizer. This paper proposes a polyphase filter type resampler approach to optimize the performance and architecture of the synchronizer simultaneously. The proposed scheme uses two resamplers which performs matched filtering and matched prefiltering so that the loop delay is minimized with minimal hardware resources. Simulation results showed an excellent acquisition performance with reduced timing jitter.

Digital Watermarking using Multi-resolution Characteristic of 2D Cellular Automata Transform (다 해상도 특성을 갖는 2D 셀룰러 오토마타 변환을 이용한 디지털 워터마킹)

  • Piao, Yong-Ri;Kim, Seok-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.1C
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    • pp.105-112
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    • 2009
  • In this paper, we propose a digital watermarking method using Multi-resolution Characteristic of 2D CAT (2D cellular automata transform). Firstly, we select the gateway values to generate a basis function and the basis function transforms images into cellular automata space. Then, we embed the random bit sequence as watermark in specific parts of cellular automata transform coefficients. The proposed method not only verifies higher fidelity than the existing method but also stronger stability on JPEG lossy compression, filtering, sharpening and noise through tests for robustness. Moreover, the proposed scheme allows only one 2D CAT basis function per gateway value. Since there are $2^{96}$ possible gateway values.

The On-Line Measuring of Dissipation Factor on pole Transformer (주상 변압기의 절연유 유전정접 활선 측정 기법)

  • Lee, Su-Kil;Kim, Jae-Chul;Yoon, Yong-Han;Lee, Bo-Hoo;Kim, Oun-Seok
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.853-855
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    • 1996
  • This paper describes the dissipation factor measuring techniques of insulating oil on the operating transformer by using digital signal processing. After applying voltage to the electrodes which is installed In a transformer, acquiring source voltage and current of electrodes and using cross-correlation techniques. we can check the dissipation factor of insulating oil. To Improve measuring accuracy and the speed of process, we use hardware such as TMS320C31 DSP board and analog filter and software such as cross-correlation techniques, rectangular window, and digital filtering techniques. We simulated the measuring accuracy and the degree of the noise effect of this new measuring techniques by using computer simulation, and compared the simplified measuring devices with schering bridge on degraded insulating oil. The result showed that this measuring technique can be used as diagnostic method on the pole transformers.

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Research of $tan{\delta}$ Measurement on Pole Transformer Using DSP (DSP를 이용한 주상변압기 $tan{\delta}$ 측정기법 연구)

  • Lee, Bo-Hoo;Kim, Jae-Chul;Yoon, Yong-Han;Rim, Sung-Jung;Kim, Oun-Seok;Lee, Su-Kil
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.462-463
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    • 1996
  • This study describes the dissipation factor measuring techniques of insulating oil on the operating, transformer by using digital signal processing. After applying voltage to the sensor which is installed in a transformer, acquiring source voltage and current of sensor and using cross-correlation techniques, we can check the dissipation factor of insulating oil. To improve measuring accuracy and the speed of process, we use hardware such as TMS320C31 DSP board and analog filter and software such as fast cross-correlation techniques, rectangular window, and digital filtering techniques. We simulated the measuring accuracy and the degree of the noise effect of this new measuring techniques by computer simulation, and compared the simplified measuring devices with Schering Bridge on degraded insulating oil. The result showed that this measuring technique can be used as diagnostic method on the pole transformers.

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Mixed Noise Removal Algorithm using Pixel Similarity Judgment (화소 유사성 판별을 이용한 복합 잡음 제거 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.214-216
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    • 2019
  • Recently, as the use of digital equipment increases in various fields, the importance of image and signal processing is increasing. However, many kinds of noise occur in the digital signal during transmission and reception, and this noise greatly affects the final output of the system. In this paper, we propose an algorithm that effectively restores the image by removing noise according to pixel similarity in a mixed noise environment with impulse noise and AWGN. The proposed algorithm sets the reference value according to the noise type and applies the filtering to pixels similar to the reference value to obtain the final output. Simulation results show that the proposed algorithm has good noise canceling performance and compared with conventional methods using PSNR.

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Adaptive High-order Variation De-noising Method for Edge Detection with Wavelet Coefficients

  • Chenghua Liu;Anhong Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.412-434
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    • 2023
  • This study discusses the high-order diffusion method in the wavelet domain. It aims to improve the edge protection capability of the high-order diffusion method using wavelet coefficients that can reflect image information. During the first step of the proposed diffusion method, the wavelet packet decomposition is a more refined decomposition method that can extract the texture and structure information of the image at different resolution levels. The high-frequency wavelet coefficients are then used to construct the edge detection function. Subsequently, because accurate wavelet coefficients can more accurately reflect the edges and details of the image information, by introducing the idea of state weight, a scheme for recovering wavelet coefficients is proposed. Finally, the edge detection function is constructed by the module of the wavelet coefficients to guide high-order diffusion, the denoised image is obtained. The experimental results showed that the method presented in this study improves the denoising ability of the high-order diffusion model, and the edge protection index (SSIM) outperforms the main methods, including the block matching and 3D collaborative filtering (BM3D) and the deep learning-based image processing methods. For images with rich textural details, the present method improves the clarity of the obtained images and the completeness of the edges, demonstrating its advantages in denoising and edge protection.

Prediction of Closed Quotient During Vocal Phonation using GRU-type Neural Network with Audio Signals

  • Hyeonbin Han;Keun Young Lee;Seong-Yoon Shin;Yoseup Kim;Gwanghyun Jo;Jihoon Park;Young-Min Kim
    • Journal of information and communication convergence engineering
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    • v.22 no.2
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    • pp.145-152
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    • 2024
  • Closed quotient (CQ) represents the time ratio for which the vocal folds remain in contact during voice production. Because analyzing CQ values serves as an important reference point in vocal training for professional singers, these values have been measured mechanically or electrically by either inverse filtering of airflows captured by a circumferentially vented mask or post-processing of electroglottography waveforms. In this study, we introduced a novel algorithm to predict the CQ values only from audio signals. This has eliminated the need for mechanical or electrical measurement techniques. Our algorithm is based on a gated recurrent unit (GRU)-type neural network. To enhance the efficiency, we pre-processed an audio signal using the pitch feature extraction algorithm. Then, GRU-type neural networks were employed to extract the features. This was followed by a dense layer for the final prediction. The Results section reports the mean square error between the predicted and real CQ. It shows the capability of the proposed algorithm to predict CQ values.