• Title/Summary/Keyword: Restoration Image

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Rectification of Perspective Text Images on Rectangular Planes

  • Le, Huy Phat;Madhubalan, Kavitha;Lee, Guee-Sang
    • International Journal of Contents
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    • v.6 no.4
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    • pp.1-7
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    • 2010
  • Natural images often contain useful information about the scene such as text or company logos placed on a rectangular shaped plane. The 2D images captured from such objects by a camera are often distorted, because of the effects of the perspective projection camera model. This distortion makes the acquisition of the text information difficult. In this study, we detect the rectangular object on which the text is written, then the image is restored by removing the perspective distortion. The Hough transform is used to detect the boundary lines of the rectangular object and a bilinear transformation is applied to restore the original image.

Adaptive Regularized Enhancement of Wavelet Compressed Video (웨이블릿 압축 동영상의 정칙화 기반 적응적 개선에 관한 연구)

  • 정정훈;기현종;이성원;백준기
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.39-44
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    • 2004
  • The three-dimensional (3D) wavelet transform with motion compensation is suitable for very high quality video coding due to both spatial and temporal decorrelations. However, it still suffers from image degradation such as ringing artifact and afterimage because of the loss of high frequency components by quantization. This paper proposes an iterative regularized enhancement of the motion-compensated 3D wavelet coded video. We also propose the adaptive implementation of the constraints for the regularization. It selectively suppresses the high frequency component along only the corresponding edge direction.

Enhanced Multi-Frame Based Super-Resolution Algorithm by Normalizing the Information of Registration

  • Kwon, Soon-Chan;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • v.9 no.1
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    • pp.363-371
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    • 2014
  • In this paper, a new super-resolution algorithm is proposed by using successive frames for generating high-resolution frames with better quality than those generated by other conventional interpolation methods. Generally, each frame used for super-resolution must only have global translation and motions of sub-pixel unit to generate good result. However, the newly proposed MSR algorithm in this paper is exempt from such constraints. The proposed algorithm consists of three main processes; motion estimation for image registration, normalization of motion vectors, and pattern analysis of edges. The experimental results show that the proposed algorithm has better performance than other conventional algorithms.

A Study on the Performance Improvement of DM-SS Watermarking with RS code in OFDM/QPSK Wireless channel Environment (OFDM/QPSK 무선 채널 환경에서 RS 부호화 기법을 적용한 DM-SS 워터마킹 성능 개선에 관한 연구)

  • Jo Song-Back;Kim Ji-Woong;Kang Heau-Jo
    • Journal of Digital Contents Society
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    • v.5 no.4
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    • pp.316-320
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    • 2004
  • In this paper, we propose OFDM/QPSK technique for copyright protection of image data to insert watermark. And, we improve performance of restoration watermark by Reed-Solomon coding that robust burst error. In here, we consider several factors about external effect of image over OFDM/QPSK transmission system.

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A New Efficient Impulse Noise Detection based on Rank Estimation

  • Oh, Jin-Sung;Kim, You-Nam
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.3
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    • pp.173-178
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    • 2008
  • In this paper, we present a new impulsive noise detection technique. To remove the impulse noise without detail loss, only corrupted pixels must be filtered. In order to identify the corrupted pixels, a new impulse detector based on rank and value estimations of the current pixel is proposed. Based on the rank and value estimations of the current pixel, the new proposed method provides excellent statistics for detecting an impulse noise while reducing the probability of detecting image details as impulses. The proposed detection is efficient and can be used with any noise removal filter. Simulation results show that the proposed method significantly outperforms many other well-known detection techniques in terms of image restoration and noise detection.

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An Adaptive Image Restoration Algorithm Using Edge Detection Based on the Block FFT (블록 FFT에 기초한 에지검출을 이용한 적응적 영상복원 알고리즘)

  • Ahn, Do-Rang;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.569-571
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    • 1998
  • In this paper, we propose a method of restoring blurred images by an edge-sensitive adaptive filter. The direction of the edge is estimated using the properties of 2-D block FFT. Reduction of blurring due to the added noise during image transfer and the focus of lens caused by shooting a fast moving object is very important. To remove this phenomenon effectively, we can use the edge information obtained by processing the blurred images. The proposed algorithm estimates both the existence and the direction of the edge. On the basis of the acquired edge direction information, we choose the appropriate edge-sensitive adaptive filter, which enables us to get better images than images obtained by methods not considering the direction of the edge. The performance of the proposed algorithm is shown in the simulation result.

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A Sequencial Adaptive Kalman Filtering for Video Codec Image Enhancement (Video Codec 화질 개선을 위한 순차적 적응형 칼만 필터링 연구)

  • 백원진;이종수;김수원;박진우
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.12
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    • pp.1031-1043
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    • 1990
  • A sequential recursive Kalman filtering algorithm, using causal image model, which is designed to operate in real time in the scanning mode is developed to enhance quality of 64Kbps videocodec images via function of suppression of various noises and optimum restoration. In order to improve its performance, adapted an averaging of pixel values between processing lines and adaptive filtering strategy based on the local spatial variance. Effecttiveness of the Kalman filtering algorithm proposed has been proved in the processed test kalman filtering algorithm proposed has been proved in the processed test images and the NMSE, LOGMSE measured, therefore, it may proposes possibility of the usage in videocodec for pre- and post- processing.

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Detecting Steganographic Contents Using EWM Statistics (EWM 통계량을 이용한 스테가노그래픽 자료 감지 기법)

  • Ji, Seon-Su
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.3
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    • pp.54-62
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    • 2008
  • For a message hiding technique to be effectual, it needs to have availability, confidentiality and integrity. Steganography is the science of hiding one message within other types of digital contents. In this case, attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover, these discrepancies expose the fact that hidden communication is happening. In this paper, I present a steganography scheme capable of concealing a piece of secrete information in a host image and base on the technique's OCT, RGB, statistical restoration.

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Design and Implementation of Multiple View Image Synthesis Scheme based on RAM Disk for Real-Time 3D Browsing System (실시간 3D 브라우징 시스템을 위한 램 디스크 기반의 다시점 영상 합성 기법의 설계 및 구현)

  • Sim, Chun-Bo;Lim, Eun-Cheon
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.13-23
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    • 2009
  • One of the main purpose of multiple-view image processing technology is support realistic 3D image to device user by using multiple viewpoint display devices and compressed data restoration devices. This paper proposes a multiple view image synthesis scheme based on RAM disk which makes possible to browse 3D images generated by applying effective composing method to real time input stereo images. The proposed scheme first converts input images to binary image. We applies edge detection algorithm such as Sobel algorithm and Prewiit algorithm to find edges used to evaluate disparities from images of 4 multi-cameras. In addition, we make use of time interval between hardware trigger and software trigger to solve the synchronization problem which has stated ambiguously in related studies. We use a unique identifier on each snapshot of images for distributed environment. With respect of performance results, the proposed scheme takes 0.67 sec in each binary array. to transfer entire images which contains left and right side with disparity information for high quality 3D image browsing. We conclude that the proposed scheme is suitable for real time 3D applications.

Image Restoration Algorithm based on Segmented Mask and Standard Deviation in Impulse Noise Environment (임펄스 잡음 환경에서 분할 마스크와 표준편차에 기반한 영상 복원 알고리즘)

  • Cheon, Bong-Won;Kim, Woo-Young;Sagong, Byung-Il;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1039-1045
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    • 2021
  • In modern society, due to the influence of the 4th industrial revolution, camera sensors and image-based automation systems are being used in various fields, and interest in image and signal processing is increasing. In this paper, we propose a digital filter algorithm for image reconstruction in an impulse noise environment. The proposed algorithm divides the image into eight masks in vertical, horizontal, and diagonal directions based on the local mask set in the image, and compares the standard deviation of each segmentation mask to obtain a reference value. The final output is calculated by applying the weight according to the spatial distance and the weight using the reference value to the local mask. To evaluate the performance of the proposed algorithm, it was simulated with the existing algorithm, and the performance was compared using enlarged images and PSNR.