• 제목/요약/키워드: Video enhancement

검색결과 269건 처리시간 0.029초

H.323 기반 VoIP 어플리케이션에서의 대역폭 향상을 위한 방법 (Bandwidth enhancement scheme for VoIP application based on H.323)

  • 김기훈;박동선;이승상;박종빈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 통신소사이어티 추계학술대회논문집
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    • pp.149-152
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    • 2003
  • In this paper, we propose a scheme that applies to the VoIP application based on H.323 protocol to enhance the bandwidth efficiency. We multiplex the audio and video stream. In this scheme, audio frame is carried with video stream. And we applies not only multiplexing but also (in header compressing to the real audio/video stream to increase the bandwidth efficiency. With the multiplexing and RTP header compressing, we gain the bandwidth efficiency. In the finite network environment, We can assign bandwidth to other users who want to use other service. and other VoIP users. If we can apply the real time network situation to the our VoIP application, we can get more efficient performance.

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Accurate Segmentation Algorithm of Video Dynamic Background Image Based on Improved Wavelet Transform

  • Ming, Ming
    • Journal of Information Processing Systems
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    • 제18권5호
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    • pp.711-718
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    • 2022
  • In this paper, an accurate segmentation algorithm of video dynamic background image (VDBI) based on improved wavelet transform is proposed. Based on the smooth processing of VDBI, the traditional wavelet transform process is improved, and the two-layer decomposition of dynamic image is realized by using two-dimensional wavelet transform. On the basis of decomposition results and information enhancement processing, image features are detected, feature points are extracted, and quantum ant colony algorithm is adopted to complete accurate segmentation of the image. The maximum SNR of the output results of the proposed algorithm can reach 73.67 dB, the maximum time of the segmentation process is only 7 seconds, the segmentation accuracy shows a trend of decreasing first and then increasing, and the global maximum value can reach 97%, indicating that the proposed algorithm effectively achieves the design expectation.

IPTV SVC환경에 알맞은 사용자 그룹 관리 방법 (A Suitable User Group Management method for SVC(Scalable Video Coding) in IPTV)

  • 이정희;오희국
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2010년도 춘계학술발표대회
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    • pp.828-830
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    • 2010
  • IPTV 환경에서는 콘텐츠를 수신하는 디바이스가 여러 종류가 있더라도 한번의 인코딩으로 콘텐츠 제공을 할 수 있는 Video Coding 기술인 SVC(Scalable Video Coding) 기술이 제공된다. SVC의 특징으로는 콘텐츠를 여러 계층으로 나뉘어 하나의 Base 계층과 여러 개의 Enhancement 계층을 가지게 되는데 상위계층은 하위 계층에 대해 더 추가적인 정보를 담고 있기 때문에 더 많은 계층이 전송될수록 데이터의 품질이 좋아지게 된다. 이러한 IPTV SVC환경의 그룹관리에 대해서 SVC의 특징인 계층간 순차적 관계를 적용한 안전한 사용자 그룹의 구성과 빈번한 가입과 탈퇴에 대해서 효율적인 그룹키 갱신에 대한 방법이 필요하다. 따라서 본 논문에서는 SVC의 특징인 계층간 순차적 관계를 지키는 사용자 그룹을 구성하고, 빈번한 가입/ 탈퇴에 대해서 효율적으로 처리하기 위한 일괄적인 그룹 키 갱신방법을 제안한다.

VVC 를 위한 CNN 기반의 변환계수 적응적 화질개선 기법 (CNN-Based Transformed Coefficient-Adaptive Enhancement for VVC)

  • 김지훈;임성균;박도현;김재곤
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2021년도 하계학술대회
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    • pp.311-312
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    • 2021
  • 최근 VVC(Versatile Video Coding) 표준 완료 이후 JVET(Joint Video Experts Team)은 NNVC(Neural Network-based Video Coding) AhG(Ad-hoc Group)을 구성하고 인공지능을 이용한 비디오 압축 기술들을 탐색하고 있다. 본 논문에서는 VVC 복원 영상의 DCT 계수를 기반으로 복원 영상을 분류하고, 분류된 각 클래스에 따라 적응적으로 CNN(Convolutional Neural Network) 기반의 화질 개선을 수행하는 VVC 후처리 기법을 제안한다. 실험결과, 제안기법은 AI(All Intra) 부호화 모드에서 1.23% BD-rate 이득을 보였다.

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독립적 컬러채널을 이용한 얼굴검출 성능개선 (Face detection enhancement using independent color channels)

  • 이영복;민현석;노용만
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2008년도 춘계학술발표대회
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    • pp.95-98
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    • 2008
  • 본 논문은 기존의 질감기반 (texture) 얼굴검출 시스템에서 컬러 영상을 도입하여 성능개선의 중요한 부분인 얼굴 오검출율을 줄이는 방법을 제안한다. 얼굴 영상의 컬러 성분은 흑백 성분과 비교하여 낮은 공간 주파수 영역을 가지는 특징이 있다. 질감기반 얼굴검출에서 높은 대비 (contrast) 성분의 에지는 얼굴이 아닌 영역에서 얼굴로 오인할 수가 있다. 본 논문에서는 이런 오인을 감소하기 위해 독립적인 컬러 채널 성분들을 질감기반 얼굴 검출에 각각 이용하여 그 얻어진 결과들을 융합 (fusion) 하는 방법을 제안한다. 실험결과로 제안한 칼라 채널 융합 방법을 통해 얻은 얼굴 검출율은 기존 흑백 영상과 비슷하게 유지되며 오검출율을 현저히 줄이는 것을 보였다.

초음파가 가진된 유체유동의 PIV계측에 의한 연구 (A Study on the Fluid Flew with Ultrasonic Forcing by PIV Measurement)

  • 주은선;이영호;나우정;정진도
    • Journal of Advanced Marine Engineering and Technology
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    • 제25권6호
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    • pp.1281-1290
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    • 2001
  • A study on the fluid flow with ultrasonic forcing is carried out to obtain data for the turbulence enhancement. A large water tank is made of the transparent acrylic plates and a horizontal flow field is given by setting two acrylic tubes to face mutually on a horizontal line. A 2-dimensional PlV system which is composed of a continuous-output 4W Argon-ion laser, a high-speed video camera, a PC based by an image grabber and a high resolution monitor is used to investigate characteristics of the complex turbulence flow field. And a 2MHz ultrasonic transducer is used fur ultrasonic vibration forcing. Some experiments are carried out at Reynolds numbers of 2,000 and 4,000 and at 7 angles of ultrasonic incidence. In results, the flew velocity vector distribution, kinetic energy and turbulence intensity in both cases of with and without ultrasonic forcing are examined, compared and discussed by using PIV measurement. It is clarified that the ultrasonic forcing into flow field is valid to obtain the turbulence enhancement.

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Implementation of Foveation Filter in DCT Domain

  • ;김원하
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2013년도 하계학술대회
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    • pp.315-318
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    • 2013
  • A novel foveation filter method is proposed in DCT domain. For countering the blocking and ringing artifacts, we devise the tools measuring the signal gradient, the block signal variations in the DCT domain. Each measurement is properly applied to each enhancement region and smoothing region. The proposed method optimally adapts the enhancement factors to the characteristics of the underlying signals and so maximizes the enhancement performances with significantly suppressing the artifacts. The subjective and objective evaluations verify that the proposed method sustains producing the improved video qualities for various sequences without tuning any parameters to individual sequences.

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Image Feature Detection and Contrast Enhancement Algorithms Based on Statistical Tests

  • Kim, Yeong-Hwa;Nam, Ji-Ho
    • Journal of the Korean Data and Information Science Society
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    • 제18권2호
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    • pp.385-399
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    • 2007
  • In many image processing applications, a random noise makes some trouble since most video enhancement functions produce visual artifacts if a priori of the noise is incorrect. The basic difficulty is that the noise and the signal are difficult to be distinguished. Typical unsharp masking (UM) enhances the visual appearances of images, but it also amplifies the noise components of the image. Hence, the applications of a UM are limited when noises are presented. This paper proposed statistical algorithms based on parametric and nonparametric tests to adaptively enhance the image feature and the noise combining while applying UM. With the proposed algorithm, it is made possible to enhance the local contrast of an image without amplifying the noise.

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Fast Enhancement Layer Encoding Method using CU Depth Correlation between Adjacent Layers for SHVC

  • Kim, Kyeonghye;Lee, Seonoh;Ahn, Yongjo;Sim, Donggyu
    • 전자공학회논문지
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    • 제50권6호
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    • pp.260-264
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    • 2013
  • This paper proposes a fast enhancement layer coding method to reduce computational complexity for Scalable HEVC (SHVC) which is based on High Efficiency Video Coding (HEVC). The proposed method decreases encoding time by simplifying Rate Distortion Optimization (RDO)for enhancement layers (EL). The simplification is achieved by restricting CU depths based on the correlation of coding unit (CU) depths between adjacent layers and scalability (spatial or quality) of EL. Comparing with the performance of SHM 1.0 software encoder, the proposed method reduces the encoding time by up to 31.5%.

Preprocessing for High Quality Real-time Imaging Systems by Low-light Stretch Algorithm

  • Ngo, Dat;Kang, Bongsoon
    • 전기전자학회논문지
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    • 제22권3호
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    • pp.585-589
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    • 2018
  • Consumer demand for high quality image/video services led to growing trend in image quality enhancement study. Therefore, recent years was a period of substantial progress in this research field. Through careful observation of the image quality after processing by image enhancement algorithms, we perceived that the dark region in the image usually suffered loss of contrast to a certain extent. In this paper, the low-light stretch preprocessing algorithm is, hence, proposed to resolve the aforementioned issue. The proposed approach is evaluated qualitatively and quantitatively against the well-known histogram equalization and Photoshop curve adjustment. The evaluation results validate the efficiency and superiority of the low-light stretch over the benchmarking methods. In addition, we also propose the 255MHz-capable hardware implementation to ease the process of incorporating low-light stretch into real-time imaging systems, such as aerial surveillance and monitoring with drones and driving aiding systems.