• Title/Summary/Keyword: Post-Filtering

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New filter design to replace the post and perceptual weighting filter of transcoder and performance evaluation (상호부호화기의 후처리 필터와 인지가중 필터를 대신하는 새로운 필터 설계 및 성능 평가)

  • 최진규;윤성완;강홍구;윤대희
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2232-2235
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    • 2003
  • In speech communication systems where two different speech codecs are interoperated, transcoding algorithm is a good approach because of its low complexity and improved synthesized speech quality. This paper proposes an efficient method to further improve the performance of transcoding algorithms as well as to reduce the complexity. In the conventional transcoding algorithms. a post-filter and a perceptual weighting filter should be operated sequentially because both decoding and encoding processes are needed. This results in the redundancy of the processing in terms of complexity and perceptual quality. Using the fact that their filter structures are similar, we replaced the two filters with one. The proposed algorithm requires 72.8% lower complexity than the conventional transcoding algorithm when we compare only the complexity of the filtering processes. The results of both objective and subjective tests verify that the proposed algorithm has slightly better quality than the conventional one.

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Filtration System and its Efficiency of Exhaust System at Post Irradiation Examination Facility (조사후시험시설에서의 방사성 오염배기체의 포집장치 및 여과효율)

  • 황용화;이형권;전용범;민덕기;엄성호;홍권표
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2003.11a
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    • pp.96-100
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    • 2003
  • Filtering system is installed at post irradiation examination facility(PIEF) to maintain optimized operating condition of the facility by keeping different negative pressure condition depending on contamination level in the PIEF due to its treatment of radioactive materials. Inspection on each system, filter leak test and other related test are periodically performed as the performance test for increasing operational efficiency and safety.

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A Study on Two-Dimensional Variational Mode Decomposition Applied to Electrical Resistivity Tomography

  • Sanchez, Felipe Alberto Solano;Khambampati, Anil Kumar;Kim, Kyung Youn
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.475-482
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    • 2022
  • Signal pre-processing and post-processing are some areas of study around electrical resistance tomography due to the low spatial resolution of pixel-based reconstructed images. In addition, methods that improve integrity and noise reduction are candidates for application in ERT. Lately, formulations of image processing methods provide new implementations and studies to improve the response against noise. For example, compact variational mode decomposition has recently shown good performance in image decomposition and segmentation. The results from this first approach of C-VMD to ERT show an improvement due to image segmentation, providing filtering of noise in the background and location of the target.

A Post Smoothing Algorithm for Vessel Segmentation

  • Li, Jiangtao;Lee, Hyo Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.345-346
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    • 2009
  • The segmentation of vessel including portal vein, hepatic vein and artery, from Computed Tomography (CT) images plays an important role in the therapeutic strategies for hepatic diseases. Representing segmented vessels in three dimensional spaces is extremely useful for doctors to plan liver surgery. In this paper, proposed method is focused on smoothing technique of segmented 3D liver vessels, which derived from 3D region growing approach. A pixel expand algorithm has been developed first to avoid vessel lose and disconnection cased by the next smoothing technique. And then a binary volume filtering technique has been implemented and applied to make the segmented binary vessel volume qualitatively smoother. This strategy uses an iterative relaxation process to extract isosurfaces from binary volumes while retaining anatomical structure and important features in the volume. Hard and irregular place in volume image has been eliminated as shown in the result part, which also demonstrated that proposed method is a suitable smoothing solution for post processing of fine vessel segmentation.

Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

  • Bang, Gun;Hur, Namho;Lee, Seong-Whan
    • ETRI Journal
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    • v.36 no.2
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    • pp.242-252
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    • 2014
  • Since July of 2012, the 3D video extension of H.264/AVC has been under development to support the multi-view video plus depth format. In 3D video applications such as multi-view and free-view point applications, synthesized views are generated using coded texture video and coded depth video. Such synthesized views can be distorted by quantization noise and inaccuracy of 3D wrapping positions, thus it is important to improve their quality where possible. To achieve this, the relationship among the depth video, texture video, and synthesized view is investigated herein. Based on this investigation, an edge noise suppression filtering process to preserve the edges of the depth video and a method based on a total variation approach to maximum a posteriori probability estimates for reducing the quantization noise of the coded texture video. The experiment results show that the proposed methods improve the peak signal-to-noise ratio and visual quality of a synthesized view compared to a synthesized view without post processing methods.

ABSOLUTE ESTIMATION METHOD OF MOSQUITO NOISE FOR A POST FILTERLING

  • Kashimura, Youhei;Sagara, Naoya;Sugiyama, Kenji
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.612-617
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    • 2009
  • In a DCT coding, degradations called block artifact and mosquito noise are appeared in reconstructed pictures. They should be reduced in post processing after decoding without superabundant processing. However, an estimation of mosquito noise is rare because of its difficulty. To realize an estimation of mosquito noise level, we extract a block that mosquito noise will be easy to occur. Mosquito noise level is calculated at a selected side of the block. In this processing, only the sides of high probability block are used. Then, a block value is taken by averaging. Finally, the picture value is calculated by averaging of this. Estimation method is evaluated by using the MPEG-4 decoded pictures. Quantization scale of coding and the estimated mosquito noise level are compared. As the results, we recognize the proposed method gives almost reasonable mosquito block and absolute level. Father, adaptive filter is controlled by the estimated mosquito noise level. It is recognized that the high quality of decoded picture is kept and the mosquito noise is reduced effectively at the picture with degradation.

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Development of Filtering System ADDAVICHI for Fake Reviews using Big Data Analysis (빅데이터 분석을 활용한 가짜 리뷰 필터링 시스템 ADDAVICHI)

  • Jeong, Davichi;Rho, Young-J.
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.6
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    • pp.1-8
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    • 2019
  • Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

Error Resilient IPC Algorithm for Noisy Image (잡음영상에 강한 IPC(Interlace to Progressive Conversion) 알고리즘)

  • Kim, Young-Ro;Hong, Byung-Ki
    • 전자공학회논문지 IE
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    • v.45 no.3
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    • pp.13-19
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    • 2008
  • In this paper, we propose a new IPC(Interlace to Progressive Conversion) method based on ELA(EDge Line based Average) interpolation using detecting the reliable edge direction. Existing ELA algorithms execute linear interpolation using edge direction without considering noises. In noisy images, these algorithms degrade quality because if interpolation based on the wrong edge direction. Out scheme is able to solve the problem of existing ELA algorithms in noisy images. First, filter a noisy pixel and estimate sizes of the noiseless orginal pixed and the noise, repectively. Then, considering the size of the noise, calculate weights of ELA and vertical interpolation. If noises exist after IPC, these could be eliminated by post filtering. The experimental results show that our proposed algorithm has about $1{\sim}2$ dB better performance than those of existing ELA algorithms.

CNVR Detection Reflecting the Properties of the Reference Sequence in HLA Region (레퍼런스 시퀀스의 특성을 고려한 HLA 영역에서의 CNVR 탐지)

  • Lee, Jong-Keun;Hong, Dong-Wan;Yoon, Jee-Hee
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.6
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    • pp.712-716
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    • 2010
  • In this paper, we propose a novel shape-based approach to detect CNV regions (CNVR) by analyzing the coverage graph obtained by aligning the giga-sequencing data onto the human reference sequence. The proposed algorithm proceeds in two steps: a filtering step and a post-processing step. In the filtering step, it takes several shape parameters as input and extracts candidate CNVRs having various depth and width. In the post-processing step, it revises the candidate regions to make up for errors potentially included in the reference sequence and giga-sequencing data, and filters out regions with high ratio of GC-contents, and returns the final result set from those candidate CNVRs. To verify the superiority of our approach, we performed extensive experiments using giga-sequencing data publicly opened by "1000 genome project" and verified the accuracy by comparing our results with those registered in DGV database. The result revealed that our approach successfully finds the CNVR having various shapes (gains or losses) in HLA (Human Leukocyte Antigen) region.

Readability Enhancement Algorithm for Patterned Retarder based Stereoscopic 3D display (Patterned Retarder 방식 입체 디스플레이에서의 가독성 향상 기법)

  • Lee, Hui Jung;Song, Byung Cheol
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.5
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    • pp.175-182
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    • 2013
  • This paper proposes a readability enhancement filter for Patterned Retarder (PR) display. In general, when some texts in stereoscopic images are shown on PR display, their readability tends to be lowered. In order to overcome this problem, we present a readability enhancement algorithm which consists of readability filtering stage and post-processing stage for specific characters. First, each input stereo image is divided into an odd line image and an even line image. Then, they are independently up-scaled vertically by using Lanczos filter. Next, two up-scaled line images are averaged considering vertical phase difference. In post-processing stage, two specific characters which are normally difficult to read on PR display are detected, and they are filtered for additional readability enhancement. Here, this additional filtering is based on a specific brightness adjustment, and is applied only for two characters. The experiment results show that the proposed method achieves significant improvement in terms of readability in comparison with the previous scheme.