• Title/Summary/Keyword: Adaptive threshold algorithm

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A Study on Image Restoration in Gaussian Noise Environment (가우시안 잡음환경하에서 영상복원에 관한 연구)

  • Seo, Hyun-Soo;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.205-208
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    • 2007
  • Due to the development and wide use of digital multimedia broadcasting (DMB) and Wireless Broadband Internet (WiBro), the digital contents industry using images has been progressed. Therefore, the image processing has been applied in a variety of fields and in order to transmit and conserve accurate information, the degradation phenomenon for images should be removed. As a representative cause of the degradation phenonenon, noise has become known and Gaussian noise occurs in the process of transmission. Diverse researches for Gaussian noise removal have been implemented and a great number of algorithms have been proposed until now. In this paper, for mage restoration an algorithm using the adaptive threshold value is proposed in Gaussian noise environment and the threshold value is established by using the histogram of edge image. And from simulation results, the noise removal performance of the proposed method is proven using mean square error (MSE) and peak signal to noise ratio (PSNR).

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A Cooperative ARQ strategy in Ad hoc Cognitive Relays for Mobile Multimedia Communication (이동 멀티미디어 통신을 위한 Ad-hoc Cognitive Relay의 Cooperative ARQ 재전송 기법)

  • An, Mi-Eun;Kang, Hae-Lynn;Kim, Nak-Myeong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.3
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    • pp.28-35
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    • 2011
  • Cooperative ARQ scheme is effective for better QoS guarantee for the next generation mobile communication systems where multimedia data transmission highly increases. In this paper, we propose a cooperative ARQ strategy in ad hoc cognitive relays for mobile multimedia communication for supporting instantaneous cooperation in MANET environment. In the proposed strategy, to support real time, delay-sensitive services, whenever a frame is transmitted from the source, each relay actively senses the SINR of the signal transmitted from the source, and determine whether to propose retransmission or not before the destination transmits feedback signal. To minimize the false retransmission decision or needless retransmission, we propose an adaptive sensing threshold optimization algorithm to maintain suboptimal sensing thresholds for each relay. By computer simulation, it is shown that the proposed cooperative ARQ retransmission scheme outperforms the conventional schemes with respect to frame transmission delay and frame loss probability in real time multimedia data transmission system.

Adaptive Skin Segmentation based on Region Histogram of Color Quantization Map (칼라 양자화 맵의 영역 히스토그램에 기반한 조명 적응적 피부색 영역 분할)

  • Cho, Seong-Sik;Bae, Jung-Tae;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.36 no.1
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    • pp.54-61
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    • 2009
  • This paper proposes a skin segmentation method based on region histograms of the color quantization map. First, we make a quantization map of the image using the JSEG algorithm and detect the skin pixel. For the skin region detection, the similar neighboring regions are set by its similarity of the size and location between the previous frame and the present frame from the each region of the color quantization map. Then we compare the similarity of histogram between the color distributions of each quantized region and the skin color model using the histogram distance. We select the skin region by the threshold value calculated automatically. The skin model is updated by the skin color information from the selected result. The proposed algorithm was compared with previous algorithms on the ECHO database and the continuous images captured under time varying illumination for adaptation test. Our approach shows better performance than previous approaches on skin color segmentation and adaptation to varying illumination.

Implementation of An Unmanned Visual Surveillance System with Embedded Control (임베디드 제어에 의한 무인 영상 감시시스템 구현)

  • Kim, Dong-Jin;Jung, Yong-Bae;Park, Young-Seak;Kim, Tae-Hyo
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.1
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    • pp.13-19
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    • 2011
  • In this paper, a visual surveillance system using SOPC based NIOS II embedded processor and C2H compiler was implemented. In this system, the IP is constructed by C2H compiler for the output of the camera images, image processing, serial communication and network communication, then, it is implemented to effectively control each IP based on the SOPC and the NIOS II embedded processor. And, an algorithm which updates the background images for high speed and robust detection of the moving objects is proposed using the Adaptive Gaussian Mixture Model(AGMM). In results, it can detecte the moving objects(pedestrians and vehicles) under day-time and night-time. It is confirmed that the proposed AGMM algorithm has better performance than the Adaptive Threshold Method(ATM) and the Gaussian Mixture Model(GMM) from our experiments.

Adaptive Real-Time Ship Detection and Tracking Using Morphological Operations

  • Arshad, Nasim;Moon, Kwang-Seok;Kim, Jong-Nam
    • Journal of information and communication convergence engineering
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    • v.12 no.3
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    • pp.168-172
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    • 2014
  • In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

Adaptive Watermarking Using Wavelet Transform & Spread Spectrum Method (확산스펙트럼 방식과 웨이브렛 변환을 이용한 적응적인 워터마킹)

  • 김현환;김두영
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.2
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    • pp.389-395
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    • 2000
  • Digital Watermarking is a research area which aims at hiding secret information in digital multimedia content such as images, audio, and video. In this paper, we propose a new watermarking method with visually recognizable symbols into the digital images using wavelet transform, spread spectrum method and multilevel threshold value in considering the wavelet coefficients. The information of watermark can be extracted by subtracting wavelet coefficients with the original image and the watermarked image. The results of this experiment show that the proposed algorithm was superior to other similar watermarking algorithms. We showed Watermarking algorithm in JPEG lossy compression, resizing, LSB(Least Significant Bit) masking, and filtering.

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Contents Adaptive MCTF Using JND (JND를 이용한 적응적 MCTF)

  • Heo, Jae-Seong;Ryu, Chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.1C
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    • pp.48-55
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    • 2009
  • In scalable video coding, MCTF plays an important role for time-scalability and SNR-scalability. But there is image quality decreasing as MCTF level is increased because time interval of each frame is extended so that is hard to find suitable motion vector. In this paper, we propose an algorithm to prevent image quality from decreasing with unsuitable motion vector during MCTF update process using JND. We adapt JND to find errors within blocks of image and set a threshold which is used to add high frequency components during update process. We can overcome time-gap between frames and achieve better image quality through the proposed algorithm.

An Adaptive Coverage Control Algorithm for Throughput Improvement in OFDMA-based Relay Systems (OFDMA 기반 Relay 시스템에서 Throughput 성능 향상을 위한 적응적 커버리지 조절 기법)

  • Hyun, Myung-Reun;Hong, Dae-Hyoung;Lim, Jae-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9B
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    • pp.876-882
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    • 2009
  • In this paper, we propose a sub-cell coverage control algorithm for enhancement of the cell throughput in OFDMA based relay systems. Relay station (RS) is exploited for improved quality of the received signal in cellular communication systems, especially in shadow areas. However, since a RS requires additional radio resource consumption for the link between the base station (BS) and the RS, we have to carefully control the coverage areas if a mobile station (MS) is serviced via the BS or the RS considering the cell throughput. We consider radio resource reuse as well for the sub-cell coverage configuration by applying various reuse patterns between RSs. We also consider a time varying system by adaptively changing the threshold for coverage depending on the MSs' traffic in the cell. We initially determine the sub-cell coverage of the system depending on the ratio of received signal-interference-noise-ratio (SINR) of the MS from the BS and RSs, respectively. Then, the "sub-cell coverage threshold" varies based on the "effective transmitted bits per sub-channel" with time. Simulation result shows that the proposed "time varying coverage control algorithm" leads to throughput improvement compared to the fixed sub-cell coverage configuration.

Rotation and Size Invariant Fingerprint Recognition Using The Neural Net (회전과 크기변화에 무관한 신경망을 이용한 지문 인식)

  • Lee, Nam-Il;U, Yong-Tae;Lee, Jeong-Hwan
    • The Transactions of the Korea Information Processing Society
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    • v.1 no.2
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    • pp.215-224
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    • 1994
  • In this paper, the rotation and size invariant fingerprint recognition using the neural network EART (Extended Adaptive Resonance Theory) is studied ($515{\times}512$) gray level fingerprint images are converted into the binary thinned images based on the adaptive threshold and a thinning algorithm. From these binary thinned images, we extract the ending points and the bifurcation points, which are the most useful critical feature points in the fingerprint images, using the $3{\times}3$ MASK. And we convert the number of these critical points and the interior angles of convex polygon composed of the bifurcation points into the 40*10 critical using the weighted code which is invariant of rotation and size as the input of EART. This system produces very good and efficient results for the rotation and size variations without the restoration of the binary thinned fingerprints.

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Applying an Auxiliary Filter in the Adaptive Echo Canceller for Performance Improvement of Double-Talk Detection (음향반향제거기에서 동시통화 검출 성능 개선을 위한 보조필터 적용)

  • Kim Siho;Bae Keunsung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.1
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    • pp.65-70
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    • 2005
  • This paper deals with the problem of double-talk (DT) detection in anacoustic echo canceller (AEC). In the DT detection algorithm with correlation coefficient, detection errors occasionally occur because it is hard to set the threshold to distinguish DT from echo path change (EPC). Adaptive filter falls into the situation that it stops updating its filter coefficients when EPC is erroneously considered as DT at the starting-point of EPC. In addition, in case of echo path changing during the DT period, the end-point detection of DT period fails so that the AEC cannot update its filter coefficients for a while even after the DT period ends. To solve these problems, in this paper, we propose a novel AEC that employs an auxiliary filter. We use the idea that though the error signal cannot be estimated using reference signal in case or DT situation but it can be in case or EPC situation. The experimental result verifies that the proposed method could solve the problems caused by DT detection error or echo path change during the DT period.